Single tool 'weixinNotice' has a complete input schema with 4 required parameters (platform, subject, description, jumpUrl), all with type strings and Chinese descriptions. However, descriptions are minimal (4-6 chars in English equivalent), falling well below the 10-1024 char baseline and the 50-200 char LLM-optimized target. No output schema is documented. Tool name lacks action verb prefix (should be 'send_weixin_notice'). No error handling guidance, no parameter constraints (enums, ranges), and no indication of what the tool returns or when to use it. Parameter descriptions are too terse to guide LLM selection or validate inputs.

• Rename tool to 'send_weixin_notice' to start with action verb and clarify intent.
• Expand parameter descriptions to 50-100 chars each. E.g., 'platform: Target platform (weixin|wechat|dingtalk). Determines which API endpoint receives the notice.' Include valid enum values or format constraints.
• Document output schema: return {success: boolean, message_id: string, timestamp: ISO8601, error?: string}. This enables LLMs to verify success and extract IDs for chaining.
• Add error handling guidance: 'If platform is invalid, returns 400 with list of valid platforms. If credentials are missing, returns 401, check WeiXinApiProperties configuration.'
• Add tool description (currently missing): 'Sends a templated notification via WeChat Official Account. Requires valid appid, appsecret, touser, template_id, and original_id in application.yml. Returns message_id on success or error details on failure.'