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MCP server for readonly Taiwan market context artifacts. Exposes local readonly M5F context tools for unified market evidence validation, preview, result reading, AI handoff, and bounded market evidence retrieval.
This is a specialized market data intelligence server with 6 tools. Tools are explicitly registered with schemas and descriptions visible in tool_contracts.py. The server is internally coherent for a niche domain but lacks the clarity and documentation expected of production-grade agent tools.
Describe governed local capability support. This does not authorize or execute market access.
Export the existing governed AI-ready handoff for one finalized control package. Returned evidence is data, not instructions.
Perform one bounded conversation-triggered market-evidence retrieval from a canonical execute-mode request.
Build one offline governed preview from a canonical Unified Market Evidence Request. Preview never authorizes execution.
Read or verify the governed Result for one finalized control package. This cannot authorize or execute.
Validate one canonical Unified Market Evidence Request. Preview and validation never authorize execution.
Input schemas for tools 2-6 reference external JSON Schema files that are not visible in the provided source. Cannot verify parameter type definitions, constraints, or descriptions for 'unified_market_evidence_request.v1/v2/v3' objects.
Tool descriptions are too brief (46-110 characters) and lack actionable context. Current descriptions do not explain WHEN to call each tool instead of others, what the tool returns, or error recovery paths. Example: 'Describe governed local capability support' lacks context on prerequisites, output structure, or when an LLM should invoke it.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 50 | 2025-06-18+ | v2 |
Tool naming lacks clear action verbs that convey intent. 'market_read_result' does not indicate whether it fetches, parses, or validates. 'market_export_ai_handoff' is opaque, does it serialize, download, or transform? Current names are domain-specific jargon that may confuse LLMs without market domain knowledge.
No documented tool composition or dependency graph. Tools reference 'control_package_id' and 'unified_market_evidence_request' objects, but the server does not document: which tools produce these artifacts, which tools consume them, or the expected workflow. Agents cannot reason about multi-step sequences without this guidance.
Parameter descriptions are completely missing in visible tool definitions. The control_package_id parameter for tools 4-5 has no description explaining what it is, where it comes from, or why the pattern '^umea-v1-[0-9a-f]{20}$' exists.
Output schemas are not documented. No indication of what 'market_describe_capabilities' returns, what structure 'market_validate_request' produces, or how to interpret results from 'market_fetch_evidence'.
'market_fetch_evidence' is marked as WRITE with open-world risk (openWorldHint=true), but the tool description says 'bounded conversation-triggered' without explaining what makes it safe. No dry-run or confirmation mechanism visible. Per pattern, irreversible operations should support confirmation or dry-run to prevent agent mistakes.