task_status
Check the status of submitted tasks in the Kart task queue to monitor progress and completion.
Instructions
Check status of a submitted task.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| app_id | Yes | ||
| task_id | Yes |
Check the status of submitted tasks in the Kart task queue to monitor progress and completion.
Check status of a submitted task.
| Name | Required | Description | Default |
|---|---|---|---|
| app_id | Yes | ||
| task_id | Yes |
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. 'Check status' implies a read-only operation, but it doesn't specify whether this requires authentication, what status values might be returned, if there are rate limits, or error conditions. For a tool with zero annotation coverage, this leaves significant behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a simple status-checking tool and front-loads the essential information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 2 required parameters, 0% schema coverage, no annotations, and no output schema, the description is insufficient. It doesn't explain what the tool returns, how to interpret status values, or provide enough context about the parameters to use the tool effectively. The conciseness comes at the expense of necessary completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage for both parameters, the description provides no information about what 'app_id' and 'task_id' represent, their formats, or how to obtain them. The description mentions 'submitted task' which hints at task_id but doesn't clarify app_id's role or relationship to other tools. This fails to compensate for the schema coverage gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Check status') and resource ('of a submitted task'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling 'task_list' or 'task_submit', which would require more specific scope information to earn a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 'task_list' or 'task_submit'. It doesn't mention prerequisites (e.g., needing a previously submitted task) or contextual constraints, leaving the agent to infer usage patterns from the tool name alone.
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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