cancel_task
Cancel a task that is currently executing by providing its task ID.
Instructions
取消执行中的任务
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes | ||
| server | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Cancel a task that is currently executing by providing its task ID.
取消执行中的任务
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes | ||
| server | No |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It does not disclose behavior for edge cases (e.g., already completed tasks), idempotency, side effects, or return values.
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 short sentence, which is concise but lacks structure and depth. It is appropriate in length but does not earn its place fully.
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?
Given the existence of an output schema, the description might be sufficient if that schema explains return values, but it omits usage context, error cases, and integration with siblings.
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?
Schema description coverage is 0%, and the description adds no explanation for parameters. 'task_id' is self-explanatory, but 'server' remains ambiguous.
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 verb 'cancel' and resource 'task', specifying it is for running tasks. However, it does not differentiate from sibling tools like get_task or submit_task.
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?
No guidance on when to use this tool versus alternatives, no prerequisites, no exclusions. The description only states what it does without context.
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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