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TRAECNclaw MCP

TRAECNclaw MCP

by Luckycat133
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JavaScript
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    TDQS

    A4.1/5.0

    Scored across 20 tools

    Disambiguation4/5

    The tool set is largely cleanly partitioned: tasks, conversations, settings, models/modes, workspace, and interaction handling each have their own verbs. The only genuinely fuzzy pair is cancel_task vs stop_generation, but the description explicitly tells the agent to prefer cancel_task when a task ID exists, and the settings trio (toggle/option/text) is distinguished by control type. A few tools (list_settings vs list_setting_options vs list_setting_sections) are close cousins but the descriptions establish a clear required ordering.

    Naming Consistency5/5

    Every tool uses the uniform traecn_<verb>_<noun> snake_case pattern (list_, select_, set_, create_, delete_, get_, cancel_, stop_, send_, open_, answer_, decide_). Verbs are used semantically consistently: list_ for read-only discovery, select_ for choosing from a listed set, set_ for applying a value. No camelCase or style mixing anywhere.

    Tool Count4/5

    Twenty tools is on the heavy side, but the server spans several distinct sub-domains (task lifecycle, conversation lifecycle, settings discovery/mutation, model/mode selection, approvals, workspace), so most tools earn their place. It is borderline rather than bloated, and consolidation of the four settings tools would make it tighter.

    Completeness4/5

    Coverage is strong across most lifecycles: tasks (send/get/cancel), conversations (list/select/create/delete), settings (sections/list/options/set/select), models and mode, workspace opening, and interactive prompts (answer_question, decide_approval). Minor gaps remain — there is no list_tasks to enumerate tracked work, no conversation rename, and no workspace listing/current-workspace read — but agents can work around these using the returned taskId.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources