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@audiolabtools/mcp-server

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      D
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      2
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    TDQS

    A3.9/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools target a distinct analysis lens (loudness, spectrum, voice, segments, index), but analyze_profile is an umbrella that overlaps with analyze_voice, analyze_loudness, and index_signal, and analyze_timeseries sits close to analyze_loudness. Descriptions largely disambiguate by scoping each to a specific output, so confusion is limited to a couple of pairs.

    Naming Consistency5/5

    All ten tools follow a consistent snake_case verb_noun pattern (analyze_loudness, check_target, get_spectrum, compare_loudness, index_signal, analyze_batch). No mixed conventions or stylistic outliers.

    Tool Count5/5

    Ten tools is well within the sweet spot and each earns its place: distinct analysis lenses, a target checker, a comparator, and a batch runner. Nothing feels redundant or thin.

    Completeness4/5

    The surface covers the core audio-QA lifecycle: measurement (loudness, spectrum, timeseries), voice QA, indexing, target verification, comparison, and batch runs. Minor gaps like no dedicated silence/clipping-region extractor or format/provenance-specific operation are largely absorbed by analyze_profile and index_signal.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues