Strong foundation with 11 well-named, read-only tools serving a specialized GTM directory. All tools have descriptions (avg 65 chars, within baseline 34-392 range) and clear verb-noun naming (find_, get_, list_, plan_). Input schemas are present and typed. However, parameter descriptions are sparse, most params lack detail on format, constraints, or dependencies. Output schemas are not documented in the visible code. Error handling guidance is absent. The server is well-composed (each tool has one responsibility) and idempotent (all read-only), but lacks the LLM-optimization depth expected of A-grade tools.

• Document output schemas for all 11 tools. Specify the structure of returned objects (e.g., find_tools returns [{id, name, mcp_status, gate, tier, ...}], whats_mcpd returns {total_tools, official_mcp_count, ...}). Use JSON Schema or a clear text description.
• Add constraint details to parameter descriptions. For 'query', specify max length and tokenization rules. For 'limit', add min/max bounds (e.g., 'limit: 1 - 100, default 20'). For enum params like 'gate', list valid values in the description.
• Rename 'whats_mcpd' to 'get_market_statistics' and 'whats_building' to 'list_github_releases' to follow verb_noun convention and improve LLM clarity.
• Add recovery guidance to error responses. If get_tool(id='invalid') fails, return 'Tool ID not found. Call find_tools() to search by capability or list_categories() to browse.' This guides the LLM to self-correct.
• Document pagination for find_tools and whats_building. Specify whether results are capped, whether a next_cursor or offset is returned, and the total count. If results are always complete, state 'No pagination; all results returned in one call.'