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GnosisLab

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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

    A3.7/5.0

    Scored across 46 tools

    Disambiguation4/5

    Most tools target clearly distinct resources and lifecycle stages (programme/hypothesis/trial/candidate/contract/archive/blob). A few boundaries blur: list_active_programmes vs list_programmes, describe_blob vs get_blob, and the terminal-status cluster (mark_retryable, correct_trial_status, cancel_trial) require reading descriptions to separate. Descriptions do resolve the ambiguity, but an agent could misselect without care.

    Naming Consistency4/5

    Strong overall verb_noun snake_case convention (create_programme, conclude_hypothesis, record_observation, cancel_trial). Minor deviations: the get_ vs describe_ vs read_ prefix split (describe_blob/get_blob, read_resource) is semantically inconsistent, and capture_bundle vs capture_bundle_from_code_hash is a long variant. Still predictable and readable.

    Tool Count2/5

    46 tools is heavy for a single server, exceeding the 25+ threshold for concern. While the domain is genuinely broad (research loop + archives + integrity + blob store), operations like capture_pending_artifacts and archive_pending_programmes are migration one-offs that could be folded, and the trial-status family could be consolidated.

    Completeness5/5

    The surface covers the full research lifecycle: programme creation/closing, hypothesis formulate/conclude/abandon, experiment design/run/observe, candidate registration and lineage, evaluation contracts, promotion decisions, data prep/verify, archiving/verification, integrity auditing, and a resource/blob read path. Few obvious gaps remain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources