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worklab-tools

by Ryeliu
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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

    A4.4/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: knowledge indexing/search, image generation, PPT creation, audio transcription, and voiceprint registration. However, index_knowledge and upsert_knowledge both handle updating the vector index, and an agent might initially be unsure which to call; descriptions clarify the difference but some overlap exists.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case: index_knowledge, search_knowledge, generate_image, generate_ppt, transcribe_audio, register_voiceprint. This makes the set predictable and easy to navigate.

    Tool Count5/5

    Seven tools is well within the ideal range and each tool serves a distinct function across three logical clusters: knowledge management (3), content generation (2), and audio processing (2). The count feels appropriately scoped for a worklab assistant without being overwhelming.

    Completeness4/5

    The knowledge base tools cover the full indexing/search lifecycle, and image/PPT generation covers creation needs. However, voiceprint management is minimal—there is a register function but no way to list, update, or delete voiceprints, and audio transcription relies on pre-registered voices without a fallback for managing those. Overall, core workflows are covered with minor gaps.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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