shiv-aurora.github.io

{
  "name": "get_current_selection",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return the researcher's live manuscript selection, section, object kind, and verification state without changing the document.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_manuscript_context",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return live manuscript text and integrity context for the current selection, current section, or manuscript.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "scope": {
        "type": "string",
        "enum": [
          "selection",
          "section",
          "manuscript"
        ],
        "description": "Context scope. Defaults to the current section."
      },
      "maxChars": {
        "type": "integer",
        "minimum": 256,
        "maximum": 20000,
        "description": "Maximum manuscript characters to return. Defaults to 4000."
      }
    },
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_claim",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return the currently selected claim, or a tracked claim by id, including its verification state and linked evidence.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "claimId": {
        "type": "string",
        "description": "Optional tracked claim id. Omit it to use the current manuscript selection."
      }
    },
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_figure",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return the currently selected figure, or a tracked figure by id, including its verification state and linked evidence.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "figureId": {
        "type": "string",
        "description": "Optional tracked figure id. Omit it to use the current manuscript selection."
      }
    },
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_table",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return the currently selected table, or a tracked table by id, including its verification state and linked evidence.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "tableId": {
        "type": "string",
        "description": "Optional tracked table id. Omit it to use the current manuscript selection."
      }
    },
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_current_section",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return the named manuscript section containing the researcher's current selection together with that section's live text.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_provenance",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return provenance and linked evidence for the currently selected tracked manuscript object, or for an explicit object id.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "objectId": {
        "type": "string",
        "description": "Optional tracked manuscript object id. Omit it to use the current manuscript selection."
      }
    },
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_integrity_status",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return live manuscript integrity counts and optional summaries of tracked provenance objects without changing researcher state.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "includeObjects": {
        "type": "boolean",
        "description": "Include tracked object summaries. Defaults to true."
      },
      "limit": {
        "type": "integer",
        "minimum": 1,
        "maximum": 100,
        "description": "Maximum tracked object summaries to return. Defaults to 50."
      }
    },
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_navigation_targets",
  "kind": "answer",
  "impl": "imperative",
  "description": "List tracked manuscript objects that an agent may ask the researcher to inspect or navigate to, optionally filtered by object kind or verification state.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "kind": {
        "type": "string",
        "enum": [
          "claim",
          "method",
          "figure",
          "table"
        ],
        "description": "Optional manuscript object kind filter."
      },
      "verificationState": {
        "type": "string",
        "enum": [
          "unlinked",
          "needs-review",
          "verified",
          "stale",
          "contradicted"
        ],
        "description": "Optional verification-state filter."
      },
      "limit": {
        "type": "integer",
        "minimum": 1,
        "maximum": 100,
        "description": "Maximum navigation targets to return. Defaults to 50."
      }
    },
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "create_claim",
  "kind": "act",
  "impl": "imperative",
  "description": "Create a first-class provenance claim from the researcher's current explicit text selection. Requires the exact text previously read by the agent so stale selections fail safely.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "expectedText": {
        "type": "string",
        "minLength": 1,
        "maxLength": 10000,
        "description": "Exact selected manuscript text observed before this call."
      }
    },
    "required": [
      "expectedText"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "attach_evidence",
  "kind": "act",
  "impl": "imperative",
  "description": "Attach structured evidence to the selected or explicitly identified tracked manuscript object. This visibly updates the same provenance state shown in the integrity panel.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "objectId": {
        "type": "string",
        "description": "Optional tracked manuscript object id. Omit it to use the currently selected tracked object."
      },
      "type": {
        "type": "string",
        "enum": [
          "experiment-result",
          "result-file",
          "evaluation-script",
          "configuration",
          "implementation",
          "figure-source",
          "table-source",
          "dataset",
          "commit",
          "analysis-artifact",
          "other"
        ]
      },
      "label": {
        "type": "string",
        "maxLength": 300
      },
      "artifactId": {
        "type": "string",
        "maxLength": 300
      },
      "experimentId": {
        "type": "string",
        "maxLength": 300
      },
      "commit": {
        "type": "string",
        "maxLength": 200
      },
      "metric": {
        "type": "string",
        "maxLength": 500
      },
      "uri": {
        "type": "string",
        "maxLength": 1000
      },
      "relation": {
        "type": "string",
        "enum": [
          "supports",
          "produces",
          "describes",
          "derived-from"
        ]
      },
      "notes": {
        "type": "string",
        "maxLength": 2000
      }
    },
    "required": [
      "label"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "update_evidence",
  "kind": "act",
  "impl": "imperative",
  "description": "Update structured evidence already linked to a tracked manuscript object. The evidence must belong to that object; unrelated evidence cannot be edited through this call.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "objectId": {
        "type": "string",
        "description": "Optional tracked object id. Omit it to use the selected tracked object."
      },
      "evidenceId": {
        "type": "string"
      },
      "type": {
        "type": "string",
        "enum": [
          "experiment-result",
          "result-file",
          "evaluation-script",
          "configuration",
          "implementation",
          "figure-source",
          "table-source",
          "dataset",
          "commit",
          "analysis-artifact",
          "other"
        ]
      },
      "label": {
        "type": "string",
        "maxLength": 300
      },
      "artifactId": {
        "type": "string",
        "maxLength": 300
      },
      "experimentId": {
        "type": "string",
        "maxLength": 300
      },
      "commit": {
        "type": "string",
        "maxLength": 200
      },
      "metric": {
        "type": "string",
        "maxLength": 500
      },
      "uri": {
        "type": "string",
        "maxLength": 1000
      },
      "relation": {
        "type": "string",
        "enum": [
          "supports",
          "produces",
          "describes",
          "derived-from"
        ]
      },
      "notes": {
        "type": "string",
        "maxLength": 2000
      }
    },
    "required": [
      "evidenceId"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "verify_claim",
  "kind": "act",
  "impl": "imperative",
  "description": "Run the editor's deterministic Verify This comparison for a selected or identified tracked claim. It compares only unambiguous manuscript and evidence metric values and returns an honest review-required outcome otherwise.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "claimId": {
        "type": "string",
        "description": "Optional tracked claim id. Omit it to use the selected tracked claim."
      }
    },
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "record_verification_result",
  "kind": "act",
  "impl": "imperative",
  "description": "Record an evidence-backed conclusion from an external research agent on a tracked claim. This stores the visible result and reasons but never changes manuscript text; use propose_claim_change separately for a researcher-reviewed correction.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "claimId": {
        "type": "string",
        "description": "Optional tracked claim id. Omit it to use the selected tracked claim."
      },
      "outcome": {
        "type": "string",
        "enum": [
          "verified",
          "contradicted",
          "stale",
          "missing-evidence",
          "needs-review",
          "partially-supported"
        ]
      },
      "reason": {
        "type": "string",
        "minLength": 1,
        "maxLength": 2000
      },
      "evidenceIds": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "maxItems": 50
      }
    },
    "required": [
      "outcome",
      "reason",
      "evidenceIds"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "set_verification_state",
  "kind": "act",
  "impl": "imperative",
  "description": "Set the verification state of a tracked manuscript object. Verified, stale, contradicted, and needs-review states require linked evidence; unlinked is only valid when no evidence is attached.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "objectId": {
        "type": "string",
        "description": "Optional tracked object id. Omit it to use the selected tracked object."
      },
      "verificationState": {
        "type": "string",
        "enum": [
          "unlinked",
          "needs-review",
          "verified",
          "stale",
          "contradicted"
        ]
      }
    },
    "required": [
      "verificationState"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "propose_claim_change",
  "kind": "act",
  "impl": "imperative",
  "description": "Stage a replacement for a tracked claim as CriticMarkup. This never silently accepts the new manuscript text: the researcher receives the editor's normal accept/reject controls.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "claimId": {
        "type": "string",
        "description": "Optional tracked claim id. Omit it to use the selected tracked claim."
      },
      "expectedText": {
        "type": "string",
        "minLength": 1,
        "maxLength": 10000
      },
      "replacementText": {
        "type": "string",
        "maxLength": 10000
      }
    },
    "required": [
      "expectedText",
      "replacementText"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "insert_comment",
  "kind": "act",
  "impl": "imperative",
  "description": "Insert an additive visible comment on the current selection line or a tracked object's line. Existing comment threads are never overwritten; the tool fails if that line already has a comment.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "text": {
        "type": "string",
        "minLength": 1,
        "maxLength": 2000
      },
      "objectId": {
        "type": "string",
        "description": "Optional tracked object whose anchor line should receive the comment."
      },
      "line": {
        "type": "integer",
        "minimum": 1,
        "description": "Optional explicit one-based manuscript line number."
      }
    },
    "required": [
      "text"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "replace_selected_content",
  "kind": "act",
  "impl": "imperative",
  "description": "Stage a replacement for the researcher's current explicit selection. Despite the action name, the new text is not silently accepted: it is inserted as CriticMarkup and remains pending until the researcher accepts or rejects it.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "expectedText": {
        "type": "string",
        "minLength": 1,
        "maxLength": 10000,
        "description": "Exact selected text observed before this call."
      },
      "replacementText": {
        "type": "string",
        "maxLength": 10000
      }
    },
    "required": [
      "expectedText",
      "replacementText"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "navigate_to_object",
  "kind": "act",
  "impl": "imperative",
  "description": "Move the visible editor selection to a tracked claim, method, figure, or table. This changes navigation state only; it does not modify manuscript or provenance content.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "objectId": {
        "type": "string"
      }
    },
    "required": [
      "objectId"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_research_diffs",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return evidence-driven Research Diff entries from live provenance alongside currently pending CriticMarkup manuscript proposals.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "stage_research_diff",
  "kind": "act",
  "impl": "imperative",
  "description": "Stage the proposed manuscript text for one evidence-driven Research Diff as CriticMarkup. The update remains unapplied until the researcher uses the visible accept/reject controls.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "diffId": {
        "type": "string"
      }
    },
    "required": [
      "diffId"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "review_research_diff",
  "kind": "act",
  "impl": "imperative",
  "description": "Record a defer or reject decision for an evidence-driven Research Diff without changing manuscript text. Agents cannot accept manuscript rewrites.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "diffId": {
        "type": "string"
      },
      "decision": {
        "type": "string",
        "enum": [
          "deferred",
          "rejected"
        ]
      },
      "reason": {
        "type": "string",
        "maxLength": 1000
      }
    },
    "required": [
      "diffId",
      "decision"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "navigate_to_research_diff",
  "kind": "act",
  "impl": "imperative",
  "description": "Move the visible editor selection to an evidence-driven Research Diff or pending CriticMarkup proposal so the researcher can inspect it without changing manuscript content.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "from": {
        "type": "integer",
        "minimum": 0,
        "description": "A pending CriticMarkup diff's `from` value."
      },
      "diffId": {
        "type": "string",
        "description": "An evidence-driven Research Diff id."
      }
    },
    "anyOf": [
      {
        "required": [
          "from"
        ]
      },
      {
        "required": [
          "diffId"
        ]
      }
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_experiments",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return the same persisted experiment runs visible in Potter’s Wheel, optionally filtered by run status.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "status": {
        "type": "string",
        "enum": [
          "planned",
          "running",
          "completed",
          "failed",
          "superseded"
        ]
      },
      "limit": {
        "type": "integer",
        "minimum": 1,
        "maximum": 100
      }
    },
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_experiment",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return one run with its parameters, metrics, artifacts, produced evidence, and dependent manuscript objects.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "experimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Experiment run id"
      }
    },
    "required": [
      "experimentId"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "compare_experiments",
  "kind": "act",
  "impl": "imperative",
  "description": "Compare the configuration, metrics, datasets, artifacts, and provenance impact of two experiment runs.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "baseExperimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Earlier experiment id"
      },
      "candidateExperimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Newer experiment id"
      }
    },
    "required": [
      "baseExperimentId",
      "candidateExperimentId"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "get_evidence_catalog",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return evidence between experiments and the paper, including its originating run and manuscript usage.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "experimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Optional originating experiment id"
      },
      "type": {
        "type": "string",
        "enum": [
          "experiment-result",
          "result-file",
          "evaluation-script",
          "configuration",
          "implementation",
          "figure-source",
          "table-source",
          "dataset",
          "commit",
          "analysis-artifact",
          "other"
        ]
      }
    },
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "create_experiment",
  "kind": "act",
  "impl": "imperative",
  "description": "Create a run in the same Experiments workspace the researcher uses.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "id": {
        "type": "string",
        "maxLength": 300,
        "description": "Optional stable run id"
      },
      "name": {
        "type": "string",
        "maxLength": 300,
        "description": "Human-readable run name"
      },
      "status": {
        "type": "string",
        "enum": [
          "planned",
          "running",
          "completed",
          "failed",
          "superseded"
        ]
      },
      "method": {
        "type": "string",
        "maxLength": 300,
        "description": "Model or research method"
      },
      "sourceCommit": {
        "type": "string",
        "maxLength": 200,
        "description": "Source commit"
      },
      "notes": {
        "type": "string",
        "maxLength": 2000,
        "description": "Research notes"
      },
      "startedAt": {
        "type": "string",
        "maxLength": 300,
        "description": "ISO timestamp"
      }
    },
    "required": [
      "name"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "update_experiment",
  "kind": "act",
  "impl": "imperative",
  "description": "Update run metadata such as its name, method, notes, timestamps, datasets, or source commit.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "experimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Experiment run id"
      },
      "name": {
        "type": "string",
        "maxLength": 300,
        "description": "Run name"
      },
      "method": {
        "type": "string",
        "maxLength": 300,
        "description": "Model or method"
      },
      "sourceCommit": {
        "type": "string",
        "maxLength": 200,
        "description": "Source commit"
      },
      "notes": {
        "type": "string",
        "maxLength": 2000,
        "description": "Research notes"
      },
      "datasets": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "maxItems": 100
      },
      "startedAt": {
        "type": "string",
        "maxLength": 300,
        "description": "ISO timestamp"
      },
      "completedAt": {
        "type": "string",
        "maxLength": 300,
        "description": "ISO timestamp"
      }
    },
    "required": [
      "experimentId"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "add_experiment_metric",
  "kind": "act",
  "impl": "imperative",
  "description": "Add or update a named metric on a research run.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "experimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Experiment run id"
      },
      "key": {
        "type": "string",
        "maxLength": 300,
        "description": "Metric name"
      },
      "value": {}
    },
    "required": [
      "experimentId",
      "key",
      "value"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "add_experiment_parameter",
  "kind": "act",
  "impl": "imperative",
  "description": "Add or update a named configuration value on a research run.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "experimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Experiment run id"
      },
      "key": {
        "type": "string",
        "maxLength": 300,
        "description": "Parameter name"
      },
      "value": {}
    },
    "required": [
      "experimentId",
      "key",
      "value"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "log_experiment_metric_point",
  "kind": "act",
  "impl": "imperative",
  "description": "Append a numeric metric point at a training step and update the run's latest value, like an MLflow metric history.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "experimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Experiment run id"
      },
      "key": {
        "type": "string",
        "maxLength": 300,
        "description": "Metric name"
      },
      "value": {
        "type": "number"
      },
      "step": {
        "type": "number",
        "minimum": 0
      }
    },
    "required": [
      "experimentId",
      "key",
      "value"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "attach_experiment_artifact",
  "kind": "act",
  "impl": "imperative",
  "description": "Attach a result, figure, table, configuration, or other artifact to a research run.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "experimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Experiment run id"
      },
      "label": {
        "type": "string",
        "maxLength": 300,
        "description": "Artifact label"
      },
      "type": {
        "type": "string",
        "maxLength": 300,
        "description": "Artifact type"
      },
      "uri": {
        "type": "string",
        "maxLength": 1000,
        "description": "Artifact URI"
      },
      "id": {
        "type": "string",
        "maxLength": 300,
        "description": "Optional artifact id"
      }
    },
    "required": [
      "experimentId",
      "label"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "set_experiment_status",
  "kind": "act",
  "impl": "imperative",
  "description": "Mark a run planned, running, completed, or failed in the shared experiment workspace.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "experimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Experiment run id"
      },
      "status": {
        "type": "string",
        "enum": [
          "planned",
          "running",
          "completed",
          "failed"
        ]
      },
      "completedAt": {
        "type": "string",
        "maxLength": 300,
        "description": "Optional ISO completion timestamp"
      }
    },
    "required": [
      "experimentId",
      "status"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "supersede_experiment",
  "kind": "act",
  "impl": "imperative",
  "description": "Identify a newer run as replacing an earlier run and mark dependent manuscript objects stale for review.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "olderExperimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Superseded run id"
      },
      "newerExperimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Replacement run id"
      }
    },
    "required": [
      "olderExperimentId",
      "newerExperimentId"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "create_experiment_evidence",
  "kind": "act",
  "impl": "imperative",
  "description": "Turn a run metric, configuration, result, figure, or table artifact into durable evidence for the paper. A superseded evidence id rewires its manuscript links and creates Research Diffs.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "experimentId": {
        "type": "string",
        "maxLength": 300,
        "description": "Originating experiment id"
      },
      "label": {
        "type": "string",
        "maxLength": 300,
        "description": "Evidence label"
      },
      "type": {
        "type": "string",
        "enum": [
          "experiment-result",
          "result-file",
          "evaluation-script",
          "configuration",
          "implementation",
          "figure-source",
          "table-source",
          "dataset",
          "commit",
          "analysis-artifact",
          "other"
        ]
      },
      "evidenceKind": {
        "type": "string",
        "maxLength": 300,
        "description": "Quantitative result, comparison, methodology, ablation, figure, or table result"
      },
      "metric": {
        "type": "string",
        "maxLength": 500,
        "description": "Machine-readable metric, for example accuracy=17.3%"
      },
      "value": {},
      "baseline": {},
      "artifactId": {
        "type": "string",
        "maxLength": 300,
        "description": "Artifact id"
      },
      "uri": {
        "type": "string",
        "maxLength": 1000,
        "description": "Artifact URI"
      },
      "notes": {
        "type": "string",
        "maxLength": 2000,
        "description": "Research notes"
      },
      "supersedesEvidenceId": {
        "type": "string",
        "maxLength": 300,
        "description": "Optional older evidence id to replace"
      }
    },
    "required": [
      "experimentId",
      "label"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}

{
  "name": "link_evidence_to_manuscript",
  "kind": "act",
  "impl": "imperative",
  "description": "Connect existing experiment evidence to an existing claim, figure, table, or method in the same visible workspace.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "evidenceId": {
        "type": "string",
        "maxLength": 300,
        "description": "Evidence id"
      },
      "objectId": {
        "type": "string",
        "maxLength": 300,
        "description": "Tracked manuscript object id"
      },
      "relation": {
        "type": "string",
        "enum": [
          "supports",
          "produces",
          "describes",
          "derived-from"
        ]
      }
    },
    "required": [
      "evidenceId",
      "objectId"
    ],
    "additionalProperties": false
  },
  "page": "/openai-webmcp-challenge/"
}