A
licenseNot graded
qualityD
maintenanceEnables AI assistants to create, manage, and break down tasks into subtasks with priorities, and track progress through a hierarchical task list.
11 npm
13
GPL 3.0
Aidderall MCP Server
by cheezcake
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TDQS
A4/5.0
Scored across 12 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no ambiguity. For example, 'complete_current_task' marks a task as completed, 'create_new_task' adds an independent task, and 'extend_current_task' adds a subtask—these are well-differentiated. Tools like 'get_big_picture' and 'get_stack_overview' serve different informational needs (overview vs. structured data), and navigation tools like 'switch_focus' and 'peek_context' have unique roles.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using snake_case, such as 'complete_current_task', 'create_new_task', and 'get_big_picture'. There are no deviations in naming conventions, making the set predictable and easy to understand. This consistency aids in agent comprehension and tool selection.
Tool Count5/5
With 12 tools, the count is well-scoped for a task management server, covering creation, navigation, status updates, and information retrieval without being overwhelming. Each tool serves a specific function in managing tasks, such as 'remove_task' for cleanup and 'list_siblings' for context, ensuring a comprehensive yet manageable toolset.
Completeness5/5
The toolset provides complete coverage for task management, including CRUD operations (create, update, remove), status changes (complete), navigation (switch_focus, peek_context), and information retrieval (get_current_task, get_big_picture). There are no obvious gaps; agents can handle all aspects of task lifecycle and workspace management without dead ends.
Maintenance
ActivityInactive
ResponsivenessSyncing