Server has 4 tools with reasonable coverage but moderate quality issues. Tool names follow verb_noun convention (process_knowledge, search_knowledge_graph, search_concepts, get_knowledge_graph_stats). All tools have descriptions present. Input schemas are visible and mostly well-structured, though some lack complete descriptions or have design concerns. The process_knowledge tool lacks parameter descriptions beyond the source code snippet shown. Error handling strategy is basic but present. Composition is reasonable, tools are single-purpose though search_knowledge_graph has complex parameter overloading that could confuse agents.

• Document output schema for all search tools. Example: 'Returns array of {entity: string, relationship: string, similarity: number, source: string, confidence: number}'.
• Add min/max constraints to weights object in search_knowledge_graph. Example: 'weights must have numeric values between 0 and 1, summing to 1.0 for proper normalization'.
• Add limit (default 20, max 100) and offset/cursor parameters to search_knowledge_graph and search_concepts to enable pagination.
• Increase default threshold in search_knowledge_graph from 0 to 0.5 or document why 0 is appropriate. Add explicit limit of max results per query.
• Add error handling documentation to process_knowledge: what constitutes a retryable error vs permanent failure? What partial-success scenarios are possible?
• Enhance abstraction parameter description in search_concepts: 'high = broad categories (e.g., Animal > Mammal), medium = domain concepts (e.g., Dog, Cat), low = specific entities (e.g., Fido, Whiskers)' to guide LLM selection.
• Add thread_id usage explanation in process_knowledge: 'Optional grouping key for related knowledge extractions; if omitted, extracted triples are stored independently'.
• Consider adding response trimming to avoid returning verbose metadata. Strip internal IDs the LLM doesn't need. Cap results per mxe:strip-api-responses at 20-50 items per call.
• Add tool annotations (readOnlyHint, destructiveHint) for process_knowledge (destructiveHint=false, idempotentHint=false since it's a write operation that adds to graph).

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

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