Pulse MCP demonstrates solid definition quality with well-structured tool schemas, clear naming conventions, and detailed descriptions. All 5 tools follow verb_noun patterns (list_, get_, compare_). Input schemas are complete with proper JSON Schema types, enums, and constraints. Descriptions are substantive (100-250 chars) and include usage guidance. However, output schemas are not documented, responses are returned as opaque JSON text without field-level documentation. Parameter descriptions are present but could be more explicit about data types and ranges. No error handling guidance is visible in tool definitions.

• Document output schemas for all tools. Specify the structure of returned JSON (e.g., list_indices returns array of {slug, value, assessed_at, source_family, status}). This enables LLMs to extract and chain data correctly.
• Add error handling guidance to each tool description. Example: 'Returns HTTP 404 if slug is invalid, verify slug against list_indices. Returns HTTP 503 if pipeline is degraded, check get_status before quoting values.'
• Enhance parameter descriptions with explicit constraints. For 'range' parameter, add: 'Filters series and observations to the last N days. If fewer than N days of data exist, returns all available data. Default "all" returns complete history.'
• Document result limits and pagination strategy. Add to descriptions: 'Returns up to 500 observations per series. For larger datasets, use range parameter to narrow the window. No pagination cursor is currently supported.'
• Remove example user queries from descriptions and replace with formal constraints. Instead of 'Use this when the user asks...', use enum constraints and parameter descriptions to guide LLM selection.

Inferred effective spec: <=2025-11-25.

• Relies on Stateful initialize / Mcp-Session-Id (removed; protocol is stateless) - make each request self-contained