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layerdock-mcp

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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4.4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a clearly distinct operation: list_feedback retrieves pins across docks, list_docks retrieves sites, get_feedback retrieves one detailed brief, update_feedback_status changes workflow state, and reply_to_feedback posts a message. Descriptions explicitly clarify boundaries (e.g., lean summary vs. full brief, server-side stamping) leaving no realistic misselection.

    Naming Consistency5/5

    All names use snake_case with a consistent verb_noun pattern: list_feedback, list_docks, get_feedback, update_feedback_status, reply_to_feedback. The minor prep in reply_to_feedback does not break the overall predictable convention.

    Tool Count5/5

    Five tools are well-scoped for an agent that fixes feedback pins: see open work, find a dock, get the fix brief, update status, and reply. No tool feels redundant or missing for the stated purpose.

    Completeness5/5

    The surface covers the full agent workflow: discover open pins (list_feedback), resolve dock context (list_docks), retrieve all fix details (get_feedback), change lifecycle state (update_feedback_status), and communicate with the reviewer (reply_to_feedback). No obvious dead ends for the coding-agent use case.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources