Server has 4 tools with basic schemas and descriptions, but significant gaps prevent production use. All tools have descriptions (10-20 chars baseline met), but lack depth and LLM-optimization guidance. Input schemas are present but minimal, parameters have types but descriptions are sparse or generic. No output schemas documented. Error handling is absent; tools return plain strings without recovery guidance. No parameter validation, enums, or constraints. Naming follows verb_noun convention (memory_add, memory_search, memory_list, memory_delete) which is good, but descriptions don't explain WHEN to use each tool or dependencies between them. The memory_delete tool is destructive but has no confirmation pattern or dry-run support.

• Add output schemas to all tools. Document return types as JSON Schema: memory_add → {facts: [string], count: int}, memory_search → {results: [{score: float, memory: string, id: string}], total: int}, memory_list → {memories: [{id: string, memory: string}], count: int}, memory_delete → {success: bool, id: string}.
• Implement error handling with recovery guidance. Wrap Mem0 calls in try-catch; return structured errors with actionable messages: 'Ollama service unavailable. Ensure Ollama is running at http://localhost:11434. Retry in 5 seconds.' instead of raw exceptions.
• Add parameter constraints and bounds. Specify: user_id (default 'vision', alphanumeric), limit (1-100, default 5), text (1-5000 chars), memory_id (required, non-empty). Use enums where applicable (e.g., if user_id has known values).
• Add confirmation pattern to memory_delete. Require a second parameter confirm=true or return a dry-run response: 'Would delete memory [id]: "fact text". Call memory_delete(memory_id, confirm=true) to proceed.' This prevents accidental data loss.
• Enhance tool descriptions with WHEN/WHY guidance. E.g., memory_search: 'Use for semantic queries (e.g., "What do I know about Alice?"). Returns ranked results by relevance score.' memory_list: 'Use to audit all stored facts for a user. Returns complete list without ranking.' This helps LLMs choose the right tool.