free-search-mcp
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TDQS
Scored across 11 tools
Each tool serves a clearly distinct purpose: search for discovery, fetch for single URLs, fetch_batch for multiple URLs, read_doc for document parsing/pagination, research for search+read combo, paper_graph for citation graphs, cache_search for local cache search, engines for engine metadata, compare for side-by-side comparison, extract_structured for metadata, and download for file storage. Cross-references between tools clarify boundaries, so misselection is unlikely.
Tool names are all lowercase with underscores, but the pattern isn't uniform: some are simple verbs (fetch, search, research, compare, download), while others are compound (fetch_batch, read_doc, cache_search, paper_graph, extract_structured, engines). This is still predictable and readable, with no mixing of camelCase or inconsistent verb styles, so it's just a minor deviation from a fully consistent verb_noun pattern.
With 11 tools, the server is well-scoped for its purpose (web search, fetching, reading, and research). Each tool earns its place, covering distinct workflows without redundancy. The count is within the ideal 3-15 range, so it feels neither thin nor bloated.
The tool surface comprehensively covers the domain: discovery (search, research, engines), fetching (fetch, fetch_batch), reading (read_doc, fetch), local cache querying (cache_search), specialized tasks (paper_graph, extract_structured, compare, download), and pagination. There are no obvious gaps—any common search/read/research workflow has a dedicated tool or a clear combination, and even edge cases like metadata extraction and download are handled.