Single tool 'search' has a well-structured schema with 4 parameters, all typed and described. Description is comprehensive (280+ chars) and explains context-aware behavior, multi-intent handling, and trace inspection. Input schema uses proper JSON Schema with minLength, maxLength, enum constraints. However, output schema is not documented in the visible code, the description mentions 'ranked results' and 'decomposition_request' but no formal response structure is defined. Error handling guidance is minimal. Tool naming is clear (verb_noun pattern). Overall solid for a single-tool server, but lacks output documentation and error recovery patterns.

• Document the output schema explicitly. Define response structure for success case (e.g. { results: [{title, url, snippet, domain, rank}], trace: {...} }) and decomposition_request case (e.g. { decomposition_request: [{sub_query, rationale}] }). Include field types and example values.
• Add error recovery guidance. Categorize errors (e.g. 'rate_limited' → retry with backoff, 'invalid_query' → ask user to rephrase, 'api_unavailable' → fatal) and return actionable messages like 'Rate limited. Retry in 60 seconds.' instead of generic status codes.
• Declare tool annotations in the tool definition. Add readOnlyHint: true to the search tool registration to signal to LLMs that this tool is safe to call without confirmation.
• Implement and document pagination. Add limit (default 20, max 50) and offset/cursor parameters to schema. Return total_count and next_cursor in response. Cap results at 50 items per call.
• Migrate from STDIO to HTTP+SSE or Streamable HTTP transport. This enables remote deployment, hosted client integration, and production-grade observability. STDIO is suitable only for local development.