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oriole

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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

    B3.4/5.0

    Scored across 16 tools

    Disambiguation4/5

    Most tools have distinct purposes, but run_pipeline and run_due both execute workflows and could be confusing. However, descriptions clarify that run_pipeline is a general discovery-probing pipeline, while run_due runs scheduled tasks. Other pairs like discover_sources/probe_source and submit_source/review_source are clearly separated.

    Naming Consistency4/5

    All tools share the 'huangque.' prefix and mostly follow a verb_noun pattern (e.g., list_sources, collect_jobs, get_run). Exceptions like 'status' and 'source_coverage' use nouns, but they are still intuitive and the overall naming is coherent.

    Tool Count4/5

    With 16 tools, the set is slightly above the ideal 3-15 range but still well-scoped for a comprehensive job-source management system. Each tool covers a distinct aspect, and no tool feels redundant.

    Completeness4/5

    The toolset covers the full lifecycle: discovery, submission, probing, review, collection, listing, reporting, and pipeline execution. Minor gaps exist (e.g., no explicit update/delete for sources), but the core workflows are well-supported and agents can work around these limitations.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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