Six tools with basic verb-noun naming (wechat_*) and present descriptions, but significant gaps in parameter documentation and output schema clarity. All tools are READ_ONLY and return JSON strings, but descriptions lack actionable detail on when to use each tool vs. alternatives. Parameter descriptions exist but are minimal (10-30 chars). No output schema documented. Error handling returns generic 'Error: {str(e)}' strings without recovery guidance. Schemas are visible and typed, but lack constraints (enums, ranges). No tool annotations (readOnlyHint, etc.). Composition is reasonable, each tool has one responsibility, but chaining is unclear (e.g., wechat_history requires 'chat_name' but wechat_sessions returns 'username'; unclear if they're interchangeable).

• Add formal output schema documentation to each tool. Example for wechat_sessions: 'Returns array of {chat: string, username: string, is_group: bool, unread: int, last_message: string, timestamp: int, time: string}'. This enables LLM planning.
• Convert msg_type description in wechat_history to an enum constraint: enum=['text', 'image', 'voice', 'video', 'sticker', 'location', 'link', 'file', 'call', 'system']. Remove from description text.
• Add min/max bounds to all numeric parameters. Example: 'limit: integer, minimum 1, maximum 100, default 20'. Prevents LLM from passing absurd values.
• Enhance error messages with recovery guidance. Instead of 'Error: Chat not found: {chat_name}', return 'Chat not found: {chat_name}. Try wechat_sessions() to list available chats, or wechat_search() to find messages by keyword.'
• Document wechat_contacts parameter relationship: 'Pass either query (search by name/remark/username) OR detail (get full info for one contact), not both. If detail is set, query is ignored.'