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OzBridge

by sena-labs
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    TDQS

    A4.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a distinct purpose: local vs cloud execution, listing models, fetching run status, listing runs, setting default model. No ambiguity between tools.

    Naming Consistency5/5

    All tools use consistent snake_case naming with 'oz_' prefix and clear verb_noun pattern (e.g., oz_agent_run, oz_list_models, oz_run_get).

    Tool Count5/5

    6 tools cover the core workflow of running AI agents (local/cloud, model discovery, status polling, configuration) without being too many or too few.

    Completeness4/5

    Covers all essential operations: run locally, run in cloud, list models, check status, list runs, set default. Lacks a cancel/abort for cloud runs, which is a minor gap.

    Maintenance

    ActivitySlowing
    ResponsivenessSlow

    Resources