F
licenseNot graded
qualityNot graded
maintenanceA minimal Model Context Protocol server implementation that provides tools for managing a to-do list, allowing users to create tasks, list them, and mark them as completed via JSON-RPC calls.
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TaskFlow MCP
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TDQS
A3.5/5.0
Scored across 17 tools
Disambiguation4/5
Most tools have distinct purposes targeting specific entities (tasks, subtasks, notes, dependencies) and actions (add, delete, update, mark, get, list, plan, export). However, 'add_dependency' and 'add_note' could be slightly confused as both add metadata to requests/tasks, but their descriptions clarify the difference. Overall, the set is well-differentiated with minimal overlap.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using snake_case (e.g., add_dependency, mark_task_done, get_next_task). The verbs are clear and appropriate (add, delete, update, mark, get, list, plan, export), and nouns consistently refer to entities like task, subtask, note, dependency, or request. No deviations or mixed conventions are present.
Tool Count4/5
With 17 tools, the count is on the higher side but reasonable for a task management server covering requests, tasks, subtasks, notes, and dependencies with full CRUD operations. It feels slightly heavy but not excessive, as each tool serves a specific function in the workflow without obvious redundancy.
Completeness5/5
The tool set provides comprehensive coverage for task management workflows. It includes planning (plan_task), progress tracking (get_next_task, mark_task_done, mark_subtask_done), full CRUD for tasks, subtasks, notes, and dependencies, listing (list_requests), inspection (open_task_details), and export (export_task_status). There are no apparent gaps; agents can handle the entire lifecycle from creation to completion.