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PaperPilot

by sjgod1427
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Python
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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

    C2.7/5.0

    Scored across 21 tools

    Disambiguation3/5

    Several file-related tools overlap in purpose: read_file, read_project_file, and read_resource, as well as write_file, write_project_file, and write_resource, have similar semantics and only descriptive context separates them. The prompt and template tools are more clearly distinct.

    Naming Consistency3/5

    Most tools use snake_case and many follow verb_noun (e.g., list_directory, read_file, write_resource), but several pipeline prompt tools are bare noun phrases (screening_prompt, venue_resolution_prompt, structure_drafting_prompt, humanization_prompt, final_qa_prompt), breaking the consistent action-oriented pattern.

    Tool Count3/5

    With 21 tools, the surface falls in the 16-25 'heavy' range. The count is inflated by exposing each pipeline stage prompt as a separate tool rather than one parameterized prompt tool, though the tools are still coherent for the server's purpose.

    Completeness3/5

    The toolset covers file, template, rendering, and pipeline handoff operations well, but notable lifecycle operations are missing: no delete/removal for project files, templates, or resources, and template management is limited to listing, getting, and adding.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources