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market-research

market-research

by autkucakan
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Python
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    • REB

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    • rSEARCH

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.2/5.0

    Scored across 47 tools

    Disambiguation4/5

    Most tools target distinct stages of the research pipeline, and descriptions clarify boundaries (e.g., lexical vs. semantic search, single vs. batch operations). However, the presence of legacy and batch variants (e.g., verify_claims vs. resolve_claims_batch) and multiple extraction submission paths introduces some ambiguity that an agent could misselect.

    Naming Consistency5/5

    All tool names use snake_case with a clear verb_noun pattern (e.g., create_research, get_research_state, submit_extracted_signals). Batch variants consistently add a _batch suffix, and no camelCase or mixed conventions appear.

    Tool Count2/5

    47 tools is far beyond the typical 3-15 range and exceeds the 25+ threshold for 'too many'. While the domain is complex, the sheer number increases cognitive load and risks tool selection errors.

    Completeness5/5

    The surface covers the full research lifecycle: creation, state management, stepping, extraction, verification, counterevidence, clustering, query lattice, source operations, search, comparison, analysis, and export. No obvious gaps in core workflows are apparent.

    Maintenance

    ActivitySlowing
    ResponsivenessNo recent community issues

    Resources