tracedesk.vercel.app

{
  "name": "list_incidents",
  "kind": "answer",
  "impl": "imperative",
  "description": "List the incidents available in TraceDesk with their IDs, severity, status, and affected service. Use this before switching incidents.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "select_incident",
  "kind": "act",
  "impl": "imperative",
  "description": "Switch the TraceDesk workspace to a specific incident ID. This changes only the local workspace view and does not modify production systems.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "incidentId": {
        "type": "string",
        "description": "Exact TraceDesk incident ID, for example INC-2041."
      }
    },
    "required": [
      "incidentId"
    ],
    "additionalProperties": false
  }
}

{
  "name": "get_active_incident",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return the active TraceDesk incident summary, status, severity, affected service, and current incident metadata.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "get_service_health",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return current service health for the active incident, including status, latency, and error-rate measurements.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "search_logs",
  "kind": "answer",
  "impl": "imperative",
  "description": "Search the active incident logs by text and optionally by service. Use this to gather concrete evidence before forming a root-cause hypothesis.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "query": {
        "type": "string",
        "description": "Case-insensitive log search text, such as signature, redis, timeout, or invalid_url."
      },
      "service": {
        "type": "string",
        "description": "Optional exact or partial service name."
      }
    },
    "required": [
      "query"
    ],
    "additionalProperties": false
  }
}

{
  "name": "get_recent_changes",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return recent deployments and configuration changes for the active incident. Use this to correlate failures with recent changes.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "get_runbook",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return the active incident's safe response runbook. Runbook steps are guidance only and do not execute infrastructure actions.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "analyze_incident",
  "kind": "act",
  "impl": "imperative",
  "description": "Run one bounded TraceDesk AI analysis over the active incident evidence. Results are cached locally after the first successful analysis, and this tool never performs remediation or loops autonomously.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "add_hypothesis",
  "kind": "act",
  "impl": "imperative",
  "description": "Add a root-cause hypothesis to the shared TraceDesk workspace so the human can review it. This changes only local incident workspace state.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "title": {
        "type": "string",
        "description": "Concise hypothesis."
      },
      "confidence": {
        "type": "number",
        "minimum": 0,
        "maximum": 1
      },
      "rationale": {
        "type": "string",
        "description": "Why the evidence supports this hypothesis."
      },
      "evidence": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "maxItems": 6,
        "description": "Short evidence statements supporting the hypothesis."
      }
    },
    "required": [
      "title",
      "confidence",
      "rationale"
    ],
    "additionalProperties": false
  }
}

{
  "name": "add_timeline_event",
  "kind": "act",
  "impl": "imperative",
  "description": "Add a concise agent-authored investigation event to the active incident timeline. This changes only TraceDesk workspace state.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "label": {
        "type": "string",
        "description": "Short event label."
      },
      "detail": {
        "type": "string",
        "description": "What was discovered or decided."
      }
    },
    "required": [
      "label",
      "detail"
    ],
    "additionalProperties": false
  }
}

{
  "name": "get_customer_update",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return the customer-facing status update from the latest AI analysis. Call analyze_incident first if no analysis exists.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "request_remediation_approval",
  "kind": "transact",
  "impl": "imperative",
  "description": "Create a visible human-approval request for a proposed remediation. This never executes production changes; it only asks the human to approve or reject the proposed action in TraceDesk.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "title": {
        "type": "string",
        "description": "Short proposed action."
      },
      "summary": {
        "type": "string",
        "description": "Why this remediation should be considered."
      },
      "risk": {
        "type": "string",
        "enum": [
          "low",
          "medium",
          "high"
        ]
      }
    },
    "required": [
      "title",
      "summary",
      "risk"
    ],
    "additionalProperties": false
  }
}