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AgentDock MCP Harness

by gabyic
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    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

    B3.4/5.0

    Scored across 19 tools

    Disambiguation5/5

    Each tool is scoped to a distinct resource and action. Though process.cancel and task.cancel overlap in stopping processes, their descriptions clearly differentiate targeting a single process versus an entire task, making misselection unlikely.

    Naming Consistency5/5

    All tool names follow a consistent domain.action pattern using lower_snake_case (e.g., task.create, file.read, approval.respond). The verb is always an imperative or descriptive action, and the dot prefix reliably indicates the resource domain, making the naming highly predictable.

    Tool Count4/5

    With 19 tools, the set is slightly above the typical 3-15 range, but the variety of concerns (processes, tasks, files, git, audit, approvals) justifies the count. Each tool addresses a distinct operation without obvious redundancy, so it feels reasonably scoped rather than bloated.

    Completeness3/5

    The tool surface covers task lifecycle, file operations, git commit/diff, process management, audit, and approvals. However, there is no task.list or task.get endpoint to enumerate or query tasks by state; agents must know task IDs in advance, which is a notable gap in the otherwise comprehensive workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources