albugent-webmcp-2.vercel.app

{
  "name": "list_available_datasets",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns a list of all DataHub dataset URNs available for audit.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}

{
  "name": "inspect_dataset_schema",
  "kind": "answer",
  "impl": "imperative",
  "description": "Inspects metadata and columns for a given dataset URN.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "datasetUrn": {
        "type": "string",
        "description": "The exact URN string returned by list_available_datasets."
      }
    },
    "required": [
      "datasetUrn"
    ]
  }
}

{
  "name": "profile_dataset",
  "kind": "act",
  "impl": "imperative",
  "description": "Calculates statistical metrics (null rates, uniqueness) for a dataset.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "datasetUrn": {
        "type": "string"
      }
    },
    "required": [
      "datasetUrn"
    ]
  }
}

{
  "name": "assess_risk",
  "kind": "act",
  "impl": "imperative",
  "description": "Calculates overall data governance risk score (0-100) based on PII density and anomalies.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "datasetUrn": {
        "type": "string"
      }
    },
    "required": [
      "datasetUrn"
    ]
  }
}

{
  "name": "inspect_lineage",
  "kind": "act",
  "impl": "imperative",
  "description": "Infers upstream/downstream table relationships for a dataset from its naming convention (raw -> staging -> mart pipeline pattern).",
  "inputSchema": {
    "type": "object",
    "properties": {
      "datasetUrn": {
        "type": "string"
      }
    },
    "required": [
      "datasetUrn"
    ]
  }
}

{
  "name": "propose_remediation",
  "kind": "act",
  "impl": "imperative",
  "description": "Proposes a remediation action for human approval. Checks overall risk first — if the dataset is SAFE, it will explain why masking may not be warranted instead of creating a proposal, unless force is set to true.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "datasetUrn": {
        "type": "string"
      },
      "actionType": {
        "type": "string",
        "enum": [
          "MASK_PII",
          "REMEDIATE_NULLS",
          "CIRCUIT_BREAK"
        ]
      },
      "force": {
        "type": "boolean",
        "description": "Set true only if the human has explicitly confirmed they want to proceed despite a low risk score."
      }
    },
    "required": [
      "datasetUrn",
      "actionType"
    ]
  }
}

{
  "name": "apply_remediation",
  "kind": "act",
  "impl": "imperative",
  "description": "Executes an approved remediation proposal.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "proposalId": {
        "type": "string"
      }
    },
    "required": [
      "proposalId"
    ]
  }
}