Single tool 'general_search' has a basic description (54 chars) and minimal parameter documentation. Input schema is present with type and description for 'keyword' parameter, but lacks constraints (no enum, pattern, or length limits). No output schema is documented, the tool returns a raw dict from the Bilibili API with no guidance on structure, fields, or pagination. No error handling guidance. Tool name is acceptable but generic; description lacks WHEN to use it, what structure is returned, or how to chain results to other tools. Baseline: 100% of A+ tools have documented return types; this has none.

• Document the output schema explicitly. Specify what fields the Bilibili API returns (e.g., video_id, title, author, duration, view_count, upload_date). Include example structure and note which fields are always present.
• Add pagination support: accept 'limit' (1-50, default 20) and 'offset' (0+) parameters. Return total_count and next_offset in response so LLM can fetch more results if needed.
• Expand description to 100-150 chars: 'Search Bilibili for videos, channels, or users by keyword. Returns up to 20 results with title, author, view count, and video ID. Use limit and offset for pagination.'
• Add input validation: constrain keyword to 1-100 characters, reject empty strings, and return actionable error: 'Keyword must be 1-100 characters. Got: "<value>"'.
• Add error handling: catch API failures and return 'Bilibili API error: <reason>. Try again in a few seconds.' For no results, return empty list with message 'No results found for "<keyword>". Try a simpler search term.'