This server has 12 tools with complete input schemas and descriptions, which is a solid foundation. However, there are significant gaps in output schema documentation, error handling guidance, and parameter descriptions. Most tools lack clear recovery pathways when errors occur. Tool names follow verb_noun conventions consistently (query_, search_, get_, generate_, update_). Descriptions are present but vary in quality, some are detailed (search, generate_weekly_digest) while others are sparse (get_mcp_metrics, regen_koi_authenticate). Parameter descriptions are generally good where present, but some tools have parameters with minimal context. The server demonstrates domain awareness (Regen Network, code graph queries, KOI system) but lacks the production-grade polish expected of 70+. Output schemas are not explicitly documented in the provided code, only inferred from tool descriptions. Error handling is notably absent, no guidance on what to do if a query returns no results, if authentication fails, or if the knowledge base is unavailable.

• Add explicit output schema documentation to every tool. Example: 'Returns: {type: object, properties: {results: {type: array, items: {type: object, properties: {id, name, score, ...}}}, total_count: number, next_offset: number}}'. This enables LLMs to predict response structure.
• Expand tool descriptions to 100-150 characters minimum, including: WHAT the tool does, WHEN to use it instead of similar tools, and what prerequisites exist (e.g., 'Call regen_koi_authenticate first if accessing internal docs'). See search and generate_weekly_digest as models.
• Add error handling guidance to every tool. Example for search: 'Returns empty results [] if no matches found (try broader query or different source filter). Returns error 401 if authentication required, call regen_koi_authenticate first.'
• Explicitly define the schema for update_my_profile with properties: experience_level (enum: junior|mid|senior|staff|principal), role (string, description of technical role), preferences (object with response customization fields). Mark as required which fields must be present.
• For regen_koi_authenticate, document: session token storage location, token lifetime, refresh behavior, and when re-authentication is needed. Add a parameter to force re-login if needed (e.g., force_refresh: boolean).
• Add total_count and next_offset/next_cursor to all paginated results. Update search, query_code_graph, search_github_docs to document this in output schema so LLMs know when to fetch more pages.
• Split get_stats into two tools if the detailed breakdown requires significantly different parameters: get_stats (simple count) and get_stats_detailed (with source/type breakdown). Current tool uses a boolean flag to switch behavior, which is fine but should document what 'detailed' adds.

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

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry