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ramanailearning-cpu

dockerbro

by ramanailearning-cpu
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Python
Hybrid

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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 16 tools

    Disambiguation5/5

    Each tool targets a distinct Docker resource and action. Container management tools (list, inspect, start, stop, restart, remove, logs, exec, run) are clearly separated from image tools (list, pull, remove) and compose tools (up, down, logs, ps). No two tools have overlapping purposes.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (e.g., list_containers, start_container, remove_image). The Docker Compose tools consistently use a docker_compose_ prefix with a verb suffix, which is a slight deviation from the main pattern but remains predictable and internally consistent.

    Tool Count5/5

    With 16 tools, the server is well-scoped for Docker management. Each tool covers a distinct operation, and the count is appropriate for handling containers, images, and Compose workflows without being overwhelming or sparse.

    Completeness4/5

    The tool set covers the core Docker lifecycle: container run/start/stop/restart/remove/logs/exec, image list/pull/remove, and Compose up/down/logs/ps. Missing operations like image build/push or container stats are notable but not critical for common workflows, allowing agents to work around the gaps.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources