This MCP server has significant gaps in definition quality. While 4 tools are explicitly registered with schemas and descriptions, the descriptions are minimal and lack LLM-optimized context. Most critically, parameter descriptions are either missing or trivial, making it difficult for LLMs to reason about tool selection and invocation. The server demonstrates basic schema structure but falls well below production quality baseline. Tool names follow verb_noun convention (good), but parameter documentation is sparse. Error handling and recovery guidance are not evident in the visible code.

• Expand all parameter descriptions to 30 - 100 characters minimum. For 'force', replace '是否强制更新' with 'Force re-fetch all knowledge sources and re-index (default: false). Use when docs may have changed and cache is stale.'
• Expand tool descriptions to 80 - 150 characters. For get_knowledge_base_status: 'Returns the current knowledge base state, including last update time, vector index size, and any in-flight update jobs. Call this before search_micro_app_knowledge to check if data is fresh.'
• Document output schemas for all tools. Example for search_micro_app_knowledge: return an array of { 'source': string (docs|github|unknown), 'path': string, 'content': string, 'metadata': object }. Describe in tool description or return schema.
• Add bounds to numeric parameters: top_k must be 1 - 100 (document in description: 'Return up to N most relevant results (1 - 100, default 15)'). Prevent LLMs from requesting thousands of results.
• Add recovery guidance to error responses. For TimeoutError, return: 'Vector search timeout. This may indicate cold-start delay. Recommended action: (1) wait 30 seconds, then retry the same query; (2) if still failing, try a shorter/simpler query; (3) call get_knowledge_base_status to check if indexing is in progress.'
• For update_knowledge_base, document that the update is async. Return a response like { 'status': 'queued', 'job_id': string, 'estimated_duration_seconds': number }. Advise: 'Call get_knowledge_base_status to poll for completion.' Add a parameter or separate tool to check update progress.

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

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