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      A
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      Enables AI agents to manage hierarchical tasks and stories stored as Markdown files, providing tools for creating, listing, editing, and updating task status through the Model Context Protocol.
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      Enables AI assistants to manage tasks in a kanban board organized as markdown files, with operations to create, update, delete, move tasks, manage lanes, and get statistics.
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      Enables AI assistants to manage tasks through YAML-based storage with subtask suggestions, status updates, and Mermaid Gantt chart generation. Supports hierarchical task structures with attributes like dependencies, milestones, and parallel execution.
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    • F
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      quality
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      Enables AI assistants to manage tasks through a comprehensive interface with 8 tools for creating, updating, searching, and tracking tasks with priorities, categories, and due dates. Features persistent file-based storage, advanced filtering, and task statistics for complete task management workflow.
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    TDQS

    A3.5/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool maps to a distinct resource/action pair: project setup, task CRUD, and task completion. complete_task is a specific state transition rather than a duplicate of update_task, so there is no real ambiguity.

    Naming Consistency5/5

    All tools follow a consistent verb_noun snake_case pattern, such as create_task, get_task, list_tasks, and init_project. The list_* prefix consistently indicates collection queries, making the set predictable.

    Tool Count5/5

    Seven tools is a well-scoped size for a task manager. Each tool serves a clear purpose without redundancy or bloat.

    Completeness4/5

    The core task lifecycle is covered: create, read, list, update, and complete, plus project initialization and listing. Missing delete operations and deeper project management are gaps, but agents can still complete typical task management workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues