Strong tool naming (all verb-first, clear intent) and comprehensive descriptions (avg 180 chars, well above 10-char minimum). All 12 tools have explicit input schemas with types and descriptions. However, output schemas are entirely undocumented, LLMs cannot predict response structure for chaining. Error handling is absent: no recovery guidance, no categorization, no actionable messages. Parameters lack constraints (enums, ranges, patterns) that would prevent hallucinated values. No pagination documented despite tools returning lists (search_docs, get_api_endpoints). Missing idempotency and confirmation patterns for tools that fetch live docs.

• Document output schema for every tool. Example for search_docs: 'Returns {results: [{title: string, url: string, excerpt: string, category: string}], total: number, limit: number}'.
• Add pagination to search_docs and get_api_endpoints: accept 'limit' (1-50, default 10) and 'offset' (default 0); return 'total' count and 'has_more' boolean.
• Convert description-based option lists to enums. E.g., get_api_endpoints.category should be enum: ['catalog', 'orders', 'customers', ...]. fetch_live_doc.slug should enumerate valid slugs.
• Add error handling: 'If search returns no results, try a broader query or use get_api_endpoints to browse by category.' For fetch_live_doc: 'If page fetch fails, verify slug is valid (e.g., quickstart, authentication, catalog).'
• Add timeout and retry guidance to fetch_live_doc: 'Timeout: 10s. If fetch fails, retry once. If still failing, suggest using search_docs instead.'