Five tools with clear verb-noun naming (search_docs, get_doc, list_docs, list_endpoints, get_openapi). All have descriptions (avg ~100 chars, within baseline 34 - 392). Input schemas present with types and descriptions. However, output schemas are entirely undocumented, LLMs cannot predict return structure. Error handling is minimal (generic 'Unknown slug' messages). No parameter constraints (enums, ranges) despite opportunities (e.g., section param accepts 'home|docs|reference|changelog' but not declared as enum). Descriptions lack actionable context (e.g., when to use search_docs vs list_docs). No mention of pagination, limits, or result caps despite search_docs returning up to 8 results by default.

• Document output schemas for all tools. E.g., search_docs returns {matches: [{slug, title, group, snippet}], total_count, limit}. get_doc returns {slug, title, body, section, group}. This enables LLM chaining and field extraction.
• Convert 'section' parameter in list_docs to enum: ['home', 'docs', 'reference', 'changelog']. Add similar enum for 'group' if values are known.
• Add pagination to search_docs and list_docs: accept 'offset' and 'limit' parameters, return 'total_count' and 'has_more' in response. Document the default limit (8) and max limit in descriptions.
• Enhance error messages with recovery guidance. E.g., 'Unknown slug "foo". Try search_docs("foo") to find valid slugs, or list_docs() to browse all pages.'
• Clarify tool selection in descriptions. E.g., search_docs: 'Use for keyword search across all docs. Returns ranked results with snippets.' list_docs: 'Use to browse all pages by section or group. Returns full list without ranking.'