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Treasure Data MCP Server

by knishioka

td_diagnose_workflow

Diagnose workflow failures and performance issues by analyzing execution history to identify root causes, detect patterns, and provide fix recommendations.

Instructions

Health check for workflows - find why they're failing or slow.

Automated troubleshooting that analyzes execution history to identify patterns, calculate health scores, and provide fix recommendations. Common scenarios: - Workflow suddenly failing - Find root cause - Performance degradation - Identify slow tasks - Reliability issues - Pattern analysis - Pre-deployment check - Ensure workflow health - Incident response - Quick failure diagnosis Time windows: "30d", "7d", "24h" for trend analysis Levels: "basic" (quick stats), "comprehensive" (full analysis) Returns health score (0-10), failure patterns, and prioritized fixes. Args: workflow_identifier: Workflow name, ID, or partial match time_window: Time period to analyze (e.g., "30d", "7d", "24h") diagnostic_level: "basic" for quick check, "comprehensive" for deep analysis Returns: Health report with score, issues, trends, and optimization recommendations

Input Schema

NameRequiredDescriptionDefault
diagnostic_levelNobasic
time_windowNo30d
workflow_identifierYes

Input Schema (JSON Schema)

{ "properties": { "diagnostic_level": { "default": "basic", "title": "Diagnostic Level", "type": "string" }, "time_window": { "default": "30d", "title": "Time Window", "type": "string" }, "workflow_identifier": { "title": "Workflow Identifier", "type": "string" } }, "required": [ "workflow_identifier" ], "type": "object" }

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