This server provides 7 tools with mixed definition quality. All tools have descriptions and input schemas are present, but descriptions vary significantly in depth and LLM-optimization. Parameter schemas are properly typed but lack detailed format guidance. Output schemas are not documented. Tool naming follows verb_noun convention well. However, the server lacks structured error handling guidance, parameter validation details, and composition documentation. The local tools (format_as_table, extract_key_entities) are well-designed with clear, specific descriptions, while the GraphRAG search tools (search_knowledge_graph, local_search, global_search) have adequate but somewhat generic descriptions that could better explain WHEN to use each variant and what to expect from the response.

• Add explicit output schema documentation for each tool. For example: search_knowledge_graph returns {results: [{entity: string, description: string, relevance: float}], total_count: int}. This enables LLMs to extract the right fields on first try.
• Expand parameter descriptions to include format/constraint details inline. Change 'response_type (Format of response, default: DEFAULT_RESPONSE_TYPE)' to 'response_type (Format of response: DEFAULT_RESPONSE_TYPE, JSON, or TABLE; defaults to DEFAULT_RESPONSE_TYPE)' so LLMs understand valid options without guessing.
• Document what list_entities returns when no entities match the filter, and whether it supports pagination. Add: 'Returns up to {limit} entities. If more exist, caller must implement iteration; no next_cursor is provided.'
• Expand get_entity description to: 'Retrieve full details for a named entity (person, organization, project, technology). Returns entity name, type, description, relationships, and confidence scores. Returns null if entity not found in the knowledge graph.'
• Add error handling guidance to search tools. For example: 'Returns empty results if query matches no entities. This is normal for typos or entities outside the knowledge base, try a broader query or use list_entities to discover available entities.'
• Clarify the relationship between search_knowledge_graph and its variants (local_search, global_search). Update search_knowledge_graph description to explicitly state: 'Routes your query to local (entity-focused) or global (thematic) search based on search_type parameter. For fine control, call local_search or global_search directly.'

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

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