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Work Researcher MCP

Work Researcher MCP

by Andrem19
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Python
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    TDQS

    A3.7/5.0

    Scored across 29 tools

    Disambiguation4/5

    Each tool maps to a distinct job-search, application, or browser action, and search_jobs/get_job/fetch_job_description are separated by source and purpose. The main boundary that needs care is browser_type vs browser_set, but their descriptions steer usage to different control types.

    Naming Consistency4/5

    Domain tools consistently use verb_noun (search_jobs, start_application, record_application), and browser tools share a predictable browser_ prefix. A few noun-style names like browser_tabs, browser_snapshot, and browser_form break the otherwise verb-first pattern.

    Tool Count2/5

    At 29 tools, this exceeds the 25-tool threshold and feels heavy for a single MCP server. The browser_* primitives are individually distinct, but bundling a full browser automation suite with the job-application domain layer makes the surface larger than necessary.

    Completeness5/5

    The tool set covers the full workflow: searching and deduplicating jobs, fetching fuller descriptions, managing blocklists and CVs, checking prior applications, starting and recording applications, and driving the browser through manual forms. There are no obvious dead ends; truncated descriptions have a dedicated fetch tool and form interactions have snapshot/form/set/click/upload primitives.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

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