Server has 8 tools with complete input schemas and descriptions. Naming follows verb_noun convention (save_, search_, get_, delete_, list_, set_, update_). Descriptions are present and adequate (avg ~120 chars), meeting the 10-1024 char baseline. However, several critical gaps: (1) no output schemas documented for any tool, forcing LLMs to guess response structure; (2) parameter descriptions lack format/constraint details (e.g., 'id' has no length/pattern guidance, 'threshold' lacks 0-1 range explanation in description); (3) no error handling guidance, tools don't explain what happens on failure or how to recover; (4) destructive operations (delete_memory, set_user_bio) lack confirmation/dry-run patterns; (5) search_memory returns 'n_results' but output structure undefined. Schemas are well-formed JSON Schema with types and required fields, but incomplete per pattern:tool-chain and pattern:response-shaper standards.

• Document output schemas for all 8 tools. Example: search_memory should return {results: [{id, text, similarity_score, metadata}], total_count, query}. Use JSON Schema format in tool definitions.
• Add format/constraint details to parameter descriptions. E.g., 'id: string, 1-256 alphanumeric chars'; 'threshold: number, 0.0-1.0 (default 0.3)'; 'n_results: number, 1-100 (default 5)'.
• Implement confirmation pattern for delete_memory: add optional 'confirm: true' parameter and return error 'Confirmation required. Pass confirm=true to delete.' This prevents accidental data loss.
• Add error handling guidance to descriptions. E.g., 'Returns error if memory not found (try search_memory first)' or 'Returns error if id already exists (use update_user_bio to modify)'.
• Add pagination to search_memory: include 'offset' and 'limit' parameters (default limit=20, max 100) and return {results, total_count, offset, limit} so agents can iterate through large result sets.