nimble-semifreddo-fc82c2.netlify.app

{
  "name": "get_data_summary",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns column names, row count, and a sample of the currently loaded data. Use this first, before any analysis.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}

{
  "name": "get_dataset_profile",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns detected column types (numeric/categorical/date), missing values, and a data quality score. Call after get_data_summary.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}

{
  "name": "get_column_stats",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns min, max, average, unique count and missing count for a single column (numeric or categorical).",
  "inputSchema": {
    "type": "object",
    "properties": {
      "column": {
        "type": "string"
      }
    },
    "required": [
      "column"
    ]
  }
}

{
  "name": "detect_anomalies",
  "kind": "act",
  "impl": "imperative",
  "description": "Flags statistical outliers in a numeric column (values beyond 2 standard deviations from the mean).",
  "inputSchema": {
    "type": "object",
    "properties": {
      "column": {
        "type": "string"
      }
    },
    "required": [
      "column"
    ]
  }
}

{
  "name": "query_data",
  "kind": "answer",
  "impl": "imperative",
  "description": "Aggregates a numeric column (yKey) grouped by another column (xKey). Use this to test a hypothesis before creating a chart.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "xKey": {
        "type": "string"
      },
      "yKey": {
        "type": "string"
      },
      "aggType": {
        "type": "string",
        "enum": [
          "sum",
          "avg",
          "count",
          "max"
        ]
      }
    },
    "required": [
      "xKey",
      "yKey"
    ]
  }
}

{
  "name": "compare_groups",
  "kind": "answer",
  "impl": "imperative",
  "description": "Compares an aggregated value between two specific group values within a column (e.g. North vs South revenue).",
  "inputSchema": {
    "type": "object",
    "properties": {
      "column": {
        "type": "string"
      },
      "groupA": {
        "type": "string"
      },
      "groupB": {
        "type": "string"
      },
      "yKey": {
        "type": "string"
      },
      "aggType": {
        "type": "string",
        "enum": [
          "sum",
          "avg",
          "count",
          "max"
        ]
      }
    },
    "required": [
      "column",
      "groupA",
      "groupB",
      "yKey"
    ]
  }
}

{
  "name": "create_chart",
  "kind": "act",
  "impl": "imperative",
  "description": "Builds a new 3D chart on the board. kind=\"bar3d\" needs xKey/yKey; kind=\"scatter3d\" also needs zKey. Returns the new chart id — reference it in relatedCharts when recording an insight.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "kind": {
        "type": "string",
        "enum": [
          "bar3d",
          "scatter3d"
        ]
      },
      "xKey": {
        "type": "string"
      },
      "yKey": {
        "type": "string"
      },
      "zKey": {
        "type": "string"
      },
      "aggType": {
        "type": "string",
        "enum": [
          "sum",
          "avg",
          "count",
          "max"
        ]
      },
      "title": {
        "type": "string"
      }
    },
    "required": [
      "kind",
      "xKey",
      "yKey"
    ]
  }
}

{
  "name": "annotate_insight",
  "kind": "act",
  "impl": "imperative",
  "description": "Records a piece of evidence/insight. Always base confidence on real evidence gathered via query_data, compare_groups or create_chart. Set concludesInvestigation true only on the final insight.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "text": {
        "type": "string"
      },
      "confidence": {
        "type": "string",
        "enum": [
          "high",
          "medium",
          "low"
        ]
      },
      "evidence": {
        "type": "number"
      },
      "relatedCharts": {
        "type": "array",
        "items": {
          "type": "number"
        }
      },
      "fields": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Dataset column names this insight is based on"
      },
      "concludesInvestigation": {
        "type": "boolean"
      }
    },
    "required": [
      "text"
    ]
  }
}

{
  "name": "remove_chart",
  "kind": "act",
  "impl": "imperative",
  "description": "Removes an existing chart by its id.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "chartId": {
        "type": "number"
      }
    },
    "required": [
      "chartId"
    ]
  }
}

{
  "name": "list_charts",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns every chart on the board with id, title, kind and creator.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}

{
  "name": "get_chart_details",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the configuration and computed values of a specific chart.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "chartId": {
        "type": "number"
      }
    },
    "required": [
      "chartId"
    ]
  }
}

{
  "name": "get_insights",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns every insight/evidence entry recorded so far, with confidence.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}

{
  "name": "start_investigation",
  "kind": "act",
  "impl": "imperative",
  "description": "Declares a research question and marks the workspace as actively investigating. Call before a multi-step analysis so steps are grouped in the Investigation Graph. Follow with get_data_summary, get_dataset_profile, query_data/compare_groups, create_chart, and conclude with annotate_insight (concludesInvestigation: true).",
  "inputSchema": {
    "type": "object",
    "properties": {
      "question": {
        "type": "string"
      }
    },
    "required": [
      "question"
    ]
  }
}

{
  "name": "get_investigation_state",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the current investigation question, status, step count and evidence count.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}

{
  "name": "list_available_tools",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the full list of WebMCP tools this page has registered, with descriptions — use this to discover what Observatory can do.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}

{
  "name": "generate_investigation_summary",
  "kind": "act",
  "impl": "imperative",
  "description": "Generates a structured summary of the current or most recently completed investigation (question, findings, evidence, charts).",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}