validate_tool_output
ActiveTool of DataNexus MCP
Validate a DataNexus tool response for data quality issues using two-layer validation: deterministic rules first, then AI review for ambiguous cases. Read-only. Never blocks. tool_id: DataNexus tool identifier e.g. T04, T10, T22. Required. Find in the tool_id field of any response. query_hash: Hash from the response you are validating. Required. Enables feedback correlation. response_json: Full tool response serialised as a JSON string. Required. Returns pass or issues_found, with issues from each layer and whether feedback was auto-filed. Both layers must agree before feedback is filed. Use validate_tool_output to check data quality. Use report_feedback instead to manually report an issue you have already identified. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="validate_tool_output", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
Parameters schema
{
"type": "object",
"required": [
"tool_id",
"query_hash",
"response_json"
],
"properties": {
"tool_id": {
"type": "string",
"description": "DataNexus tool identifier, e.g. T04, T10, T22 — found in the tool_id field of any response. Required."
},
"query_hash": {
"type": "string",
"description": "Hash from the response being validated — found in the query_hash field of any response. Enables feedback correlation. Required."
},
"response_json": {
"type": "string",
"description": "The full tool response, serialised as a JSON string, to validate for data quality issues. Required."
}
},
"additionalProperties": false
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
DataNexus MCP
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