Server provides 7 well-named tools with complete input schemas and descriptions. All tools follow verb_noun naming (memory_store, memory_search, memory_get, memory_delete, memory_list, memory_stats, memory_update). Descriptions are present and actionable (avg ~80 chars). All parameters have type definitions and descriptions. However, output schemas are not formally documented, responses are inferred from code (e.g., memory_search returns {results, count} but this is not declared in a schema artifact). Error handling is minimal: memory_get returns {error: ...} on miss, but no guidance on recovery. No parameter constraints (enums, ranges) despite opportunities (e.g., min_score should be 0.0 - 1.0). No idempotency hints despite memory_store accepting optional id for upserts. Missing documentation of embedding generation side effects and potential failures.

• Document output schemas formally. Add a docstring or schema artifact for each tool declaring return type, field names, types, and descriptions. E.g., memory_search returns {results: [{id, content, namespace, tags, metadata, score}, ...], count: int}.
• Add parameter constraints. Declare min_score as number with minimum: 0.0, maximum: 1.0; top_k and limit as integers with minimum: 1, maximum: 100; namespace as string with pattern or enum of valid namespaces.
• Enhance error messages with recovery hints. When memory_get(id) returns not found, suggest: 'Memory not found. Try memory_search(query) to find by content, or memory_list() to browse all memories.'
• Document embedding generation failure modes. Add to memory_store and memory_update descriptions: 'May fail if embedding provider is unavailable (network, rate limit, invalid API key). Returns error with retry guidance.'
• Add idempotency and confirmation patterns. For memory_delete, support a dry_run parameter. For memory_update, return old and new values so LLM can verify changes before committing.