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Querit MCP Server

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by querit-ai

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    TDQS

    A4.3/5.0

    Scored across 2 tools

    Disambiguation4/5

    querit_search (discovery via web search) and querit_contents (retrieval for known URLs) have largely distinct purposes that are reinforced by the descriptions. The only overlap is that querit_search can return page content when include_content=true, which partially blurs the boundary with querit_contents, but the intended search-then-fetch workflow is clear.

    Naming Consistency4/5

    Both names share the consistent querit_ prefix and are readable snake_case. There is a minor grammatical inconsistency (search is a verb, contents is a noun), but the pattern is predictable enough that agents can infer naming.

    Tool Count3/5

    A search-plus-fetch pair is a coherent minimal set for a web retrieval service, but two tools is on the thin side and leaves little room for distinct operations. It is borderline rather than clearly well-scoped.

    Completeness4/5

    The search + content-retrieval pairing covers the core lifecycle of a web search API: discover URLs, then fetch their content. Minor gaps exist (no explicit pagination/cursor handling, no structured filters exposed), but agents can work around these via parameters described in the tools.

    Maintenance

    ActivityStale
    ResponsivenessNo issues