memBook provides 11 tools with complete JSON schemas and descriptions, but quality is uneven. Tool names follow verb_noun convention (write_memory, recall_memory, delete_memory). Descriptions are present but brief (10-50 chars for most tools), lacking context on WHEN to use each tool or dependencies between them. Parameters have types and descriptions, but many lack constraints (enums, ranges, patterns). Output schemas are not documented, LLMs cannot predict response structure. Error handling is absent from visible code. Session tools (session_add_message, session_used_memories, session_commit) lack clarity on lifecycle and state management. No evidence of idempotency guarantees or recovery guidance.

• Document output schemas for all tools. E.g., recall_memory should specify: {records: [{id, name, body, tags, memory_type, confidence, ...}], total_count, next_cursor}. This enables LLMs to chain tools and extract required fields.
• Expand tool descriptions to 50-200 chars. Include WHEN to use, dependencies, and prerequisites. E.g., 'Recall memory records matching a query. Use this to find relevant context before writing new memories. Supports filtering by tags, context layers, and relation hops for graph traversal.'
• Add enum constraints to string parameters. Define valid values for memory_type (FACT, EPISODE, SEMANTIC, etc.), context_layer (l0, l1, l2), context_type (memory, resource, skill), and feedback action (confirm, reject, delete).
• Document session lifecycle and state transitions. Clarify: Can session_add_message be called multiple times? Must session_used_memories be called before session_commit? What happens if session_commit is called twice?
• Add error handling guidance. Specify which errors are retryable (e.g., 'Consolidation in progress, retry in 5s') vs user-fixable (e.g., 'Invalid memory_type: got "UNKNOWN", must be one of: FACT, EPISODE, SEMANTIC') vs fatal.