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Glama

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    TDQS

    A3.9/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool has a clear and distinct purpose, covering different aspects like memory, language processing, model routing, audio, and execution. There is no overlap that would cause confusion for an agent.

    Naming Consistency5/5

    All tools follow a consistent 'neuroverse_verb_noun' pattern using snake_case, making them predictable and easy to navigate.

    Tool Count5/5

    With 11 tools, the set is well-scoped for a multi-modal AI platform. Each tool provides necessary functionality without being excessive.

    Completeness4/5

    The tool surface covers core operations like memory storage/retrieval, model queries, language processing, and audio handling. Minor gaps exist (e.g., no explicit memory update or delete tool), but the overall set is robust for common tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues