NeuroMem MCP exposes 7 memory-management tools with reasonable naming (verb_noun pattern) and documented schemas. However, descriptions are inconsistent in depth, parameter descriptions lack constraint details (ranges, enums, formats), and output schemas are not formally documented. Error handling is minimal, no recovery guidance or actionable error messages visible. Tool composition is sound (each does one thing), but descriptions could better explain WHEN to use each tool vs. alternatives. Average tool score: 62/100.

• Document output schemas for all 7 tools. Specify which fields are returned, their types, and whether they are always present. Example: create_memory returns {id: string, content: string, session_id: string, memory_type: string, tags: [string], created_at: ISO8601}.
• Add constraint details to parameter descriptions. For top_k, state '1 - 100, default 5'. For strength, state '0.0 (no connection) to 1.0 (strong), default 0.8'. For tags, state 'max 10 tags, each 1 - 50 chars'.
• Expand tool descriptions to 100 - 200 chars with WHEN/WHY guidance. Example: 'Search session-scoped memories by semantic query. Use this to retrieve relevant context before creating new memories or to answer user questions from past sessions. Returns up to top_k results ranked by relevance.'
• Add error handling with recovery hints. If search_memory returns 0 results, suggest 'No memories matched. Try a broader query, or call list_memories() to see all available memories for this session.'
• Clarify memory_type enum values in create_memory description. State valid types (e.g., 'episodic, semantic, procedural') so LLMs know what to pass.