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playcal

playcal

by RizgarOzan
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Python
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    TDQS

    B3.3/5.0

    Scored across 20 tools

    Disambiguation4/5

    Most tools target clearly distinct concerns (meta/asset/audio checks, perf baseline, visual diff, replay, report), and descriptions are explicit about scope. The main overlap risk is among the run-related tools (loop, observe, playtest, replay), plus report/calibrate/tests, but the descriptions differentiate them well enough for an agent to choose.

    Naming Consistency4/5

    All 20 tools use a consistent `playcal_` prefix with a single short lowercase word, which is predictable and readable. There is minor inconsistency in part of speech (verbs like observe/ingest/lock mixed with nouns like logs/meta/assets), but the pattern itself is uniform.

    Tool Count4/5

    20 tools is on the heavy side for a single server, but the domain is broad (environment setup, import checks, play runs, replay, visual/perf gating, reporting, calibration, collaboration). Each tool covers a distinct workflow step, so the count is justified rather than bloated, though it sits at the upper end of comfortable.

    Completeness4/5

    Coverage is broad: setup (doctor), safety (checkpoint, lock), import validation (meta, assets, audio), execution (loop, observe, playtest, replay), gating (visual, baseline, tests), and analysis (logs, report, calibrate, ingest, ui). Minor gaps exist around baseline lifecycle management (e.g., explicitly updating/replacing a saved baseline) and test/checklist authoring, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources