bocha-mcp
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TDQS
Scored across 2 tools
Both tools are search-based and can return similar result types, creating potential ambiguity. The AI search tool explicitly notes it should only be used when requested, which helps, but the boundary between general web search and AI-enhanced search is not always obvious.
Both tool names follow a consistent pattern: a type prefix followed by 'search' (web-search, ai-search). This makes the naming predictable and easy to understand.
With only two tools, the server is on the lean side, but for a focused search API server, this is reasonable. Each tool serves a distinct search mode, so the count feels appropriate for the scope.
The tool surface covers general web search and AI-powered search, including images, videos, and multimodal cards. No obvious missing functionality for the stated purpose of a search API.