Single tool 'digest_url' has a clear action verb and reasonable description (89 chars), but critical gaps undermine quality. Input schema is visible with two parameters (url, format), both typed as strings with descriptions. However, output schema is completely undocumented, the code shows Digest objects with json/markdown/cached/credits fields, but the tool definition provides no schema documentation for what the LLM receives. Parameter 'format' lacks an enum constraint despite accepting only 'markdown' or 'json'. No error handling guidance in the description. The tool is read-only (good security posture) but lacks idempotent/readonly annotations. Overall: functional but below production baseline for agent tooling.

• Add explicit output schema to tool definition: {"type": "object", "properties": {"content": {"type": "string", "description": "Digested content as markdown or JSON"}, "format": {"type": "string", "enum": ["markdown", "json"]}, "cached": {"type": "boolean", "description": "Whether result was cached"}, "credits_used": {"type": "integer", "description": "Credits consumed, null if cached"}}}
• Change 'format' parameter to enum: {"type": "string", "enum": ["markdown", "json"], "description": "Output format: 'markdown' for readable text, 'json' for structured data"}
• Expand description to include error scenarios and recovery: 'Convert a Xiaohongshu, Douyin, TikTok, YouTube or X link into readable text or structured JSON. Processing may take 30-170s for long media. Returns 401 if API key invalid, 402 if quota exceeded, 429 if rate limited, or 502 if content unreadable.'
• Add tool annotations: readOnlyHint=true, idempotentHint=true to signal LLM this is safe to retry
• Document parameter constraints in descriptions: url should be a valid HTTP(S) URL to a supported platform; format defaults to 'markdown' if omitted