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HireLayer MCP server

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    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

    A4.1/5.0

    Scored across 5 tools

    Disambiguation4/5

    parse_resume and extract_job_criteria clearly handle different input types, and resolve_skills targets a distinct taxonomy-mapping task. match_candidate and rank_candidates overlap somewhat (both score resumes against a job), but the single-vs-batch distinction and descriptions make them distinguishable.

    Naming Consistency5/5

    All five tools follow a consistent verb_noun snake_case pattern (parse_resume, extract_job_criteria, match_candidate, rank_candidates, resolve_skills). No mixed conventions or vague verbs.

    Tool Count5/5

    Five tools is well-scoped for a resume-matching pipeline. Each tool represents a distinct, necessary stage and none feel redundant or bloated.

    Completeness4/5

    The pipeline covers the core workflow: parse resumes, extract criteria, resolve skills, then match and rank candidates, with a coherent data flow between tools. Minor gaps exist around persisting/retrieving results or job/candidate management, but the stated matching purpose is well covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources