Google Search MCP Server
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TDQS
Scored across 10 tools
Most tools have distinct purposes (e.g., academic_search vs. google_search), but some overlap exists between content_summarizer and extract_content, and between search_analytics and search_trends. Descriptions help clarify, but an agent might occasionally misselect.
Tool names use a consistent snake_case format, but the pattern varies: some are verb_noun (extract_content), others are noun_noun (search_trends) or noun (fact_checker). The naming is clear and readable overall.
With 10 tools, the server is well-scoped for search and research tasks. Each tool addresses a specific need without being too many or too few.
The tool set covers a wide range of search-related operations: general search, academic search, multi-site search, content extraction, fact-checking, news monitoring, research synthesis, and trend analysis. This is comprehensive for a search MCP server.