Server has 7 tools with complete Zod schemas and descriptions. Naming follows verb_noun convention (log_message, load_context, remember, forget, recall, start_session, end_session). Descriptions are present and contextual (avg ~100 chars), meeting the 10-1024 char baseline. However, several parameters lack descriptions (e.g., 'days' in load_context has description but 'limit' in recall is generic). Output schemas are not documented, LLMs cannot predict response structure. Error handling is minimal: tools return success messages but lack recovery guidance or error classification. No input validation visible (e.g., days parameter unbounded, could accept negative values). Session management tools (start_session, end_session) lack idempotency guarantees. Missing: pagination guidance for recall results, per-item success/failure for batch operations, and confirmation patterns for destructive operations (forget).

• Document output schemas for all tools. Add a 'returns' field to each tool definition specifying the structure of the response object (e.g., {type: 'object', properties: {messages: {type: 'array'}, summaries: {type: 'array'}, facts: {type: 'array'}}}). This enables LLMs to plan downstream operations.
• Add min/max constraints to numeric parameters. E.g., days: z.number().min(1).max(365) and limit: z.number().min(1).max(100). Include these bounds in parameter descriptions.
• Enhance error messages with recovery guidance. E.g., forget should return 'No active facts found matching "X". Try recall("X") to search for similar facts.' This guides the LLM to the next step.
• Implement idempotency tokens for session operations. Add an optional 'idempotency_key' parameter to end_session to prevent duplicate summaries on retry. Document that start_session is idempotent (calling it twice with the same session_id returns the same context).
• Add a dry-run mode to forget. E.g., forget(fact_text, dry_run=true) returns matching facts without deactivating them. This prevents accidental deletion and matches the confirmation-request pattern.