Three tools with minimal descriptions (10-50 chars) and no visible input schemas in the provided code. Tool names follow verb_noun convention (add_memories, search_memory, list_memories) but descriptions lack context on WHEN to use each tool, prerequisites, or return structure. No parameter descriptions visible. No error handling guidance. No output schema documentation. Code snippet cuts off mid-implementation, preventing full schema verification.

• Expand tool descriptions to 100-200 chars. For add_memories: 'Add a new memory entry to the user's persistent memory store. Use this to record facts, preferences, or context the user wants remembered. Returns the memory_id for future reference or deletion.'
• Document complete input schemas with parameter types and descriptions. For add_memories.text: type=string, description='The memory content to add (max 2000 chars). Can be a fact, preference, or context note.'
• Document output schemas. E.g., add_memories returns {memory_id: string, created_at: ISO8601, text: string}. search_memory returns {results: [{memory_id, text, relevance_score}], total_count: int}.
• Add error handling guidance. E.g., 'If text exceeds 2000 chars, truncate and retry. If quota exceeded, call list_memories to review and delete old entries.'
• For add_memories, implement idempotency via deduplication (check if identical text exists within 5 mins) or add a dry_run parameter to preview before committing.