Single tool with minimal definition quality. Tool name 'query_chat_messages' is acceptable (verb_noun pattern), but description is generic (28 chars, below 50-char minimum for clarity). Input schema present but lacks critical details: no parameter descriptions beyond trivial labels, no type constraints (arrays accept any strings), no guidance on mutual exclusivity or required combinations. No output schema documented. No error handling guidance. No pagination despite array parameters suggesting potential large result sets.

• Expand description to 80-150 chars: 'Query chat messages by room and/or talker name. Returns array of messages with timestamps, content, and metadata. Use to retrieve conversation history for summarization or analysis.'
• Add explicit output schema: document that response contains array of {msg_id, created_at, room_name, talker_name, content, msg_type, url_title, url_link} with types and descriptions for each field.
• Add parameter descriptions: 'room_names (optional): array of chat room names to filter by. If empty, searches all rooms. talker_names (optional): array of talker names to filter by. If empty, includes all talkers. At least one filter recommended for performance. limit (1-1000, default 100): maximum messages to return. Results are ordered by created_at descending.'
• Implement pagination: add offset/cursor parameter and return {messages: [...], total_count: N, has_more: boolean} to support large result sets without context explosion.
• Add error handling: return structured errors like {error: 'no_results', message: 'No messages found matching filters. Try: (1) expanding room/talker filters, (2) checking date range, (3) verifying room/talker names exist'} to guide LLM recovery.