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set_task_status

Update the status of tasks or subtasks (e.g., pending, done, in-progress) by specifying task IDs, status, and project directory. Ideal for task management in AI-driven development workflows.

Instructions

Set the status of one or more tasks or subtasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
complexityReportNoPath to the complexity report file (relative to project root or absolute)
fileNoAbsolute path to the tasks file
idYesTask ID or subtask ID (e.g., '15', '15.2'). Can be comma-separated to update multiple tasks/subtasks at once.
projectRootYesThe directory of the project. Must be an absolute path.
statusYesNew status to set (e.g., 'pending', 'done', 'in-progress', 'review', 'deferred', 'cancelled'.
tagNoOptional tag context to operate on
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure but only states the basic function. It doesn't mention whether this is a destructive operation, what permissions are required, how errors are handled, or what happens when updating multiple tasks. For a mutation tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that immediately conveys the core function. There's no wasted verbiage or unnecessary elaboration. It's appropriately sized for a tool with comprehensive schema documentation and gets straight to the point.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with 6 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't address behavioral aspects like side effects, error conditions, or return values. While the schema covers parameter details, the description fails to provide the contextual understanding needed for safe and effective tool invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all parameters are documented in the schema. The description adds no additional parameter information beyond what's already in the schema descriptions. It doesn't explain relationships between parameters like how 'complexityReport' relates to status setting or clarify the 'tag' parameter's purpose. Baseline 3 is appropriate when schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Set') and target ('status of one or more tasks or subtasks'), making the purpose immediately understandable. It distinguishes from siblings like 'update_task' by focusing specifically on status updates rather than general task modifications. However, it doesn't explicitly differentiate from all status-related operations in the sibling list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'update_task' or 'update_subtask', nor does it mention prerequisites or context for usage. It simply states what the tool does without indicating appropriate scenarios or constraints for its application.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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