cancel_task
Stop a running task in the MCP Kafka Schema Reg server by specifying the task ID. Ensures efficient management of active processes.
Instructions
Cancel a running task.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Stop a running task in the MCP Kafka Schema Reg server by specifying the task ID. Ensures efficient management of active processes.
Cancel a running task.
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure but offers minimal information. It implies a mutation operation ('Cancel') but doesn't specify whether this requires permissions, is reversible, affects other tasks, or has side effects. For a tool that likely terminates processes, this lack of detail is a significant gap.
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 extremely concise ('Cancel a running task.') with no wasted words, making it front-loaded and easy to parse. Every word contributes directly to the core purpose, achieving optimal efficiency for such a brief statement.
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 tool's likely complexity (canceling tasks often involves permissions, side effects, or status changes), no annotations, no output schema, and minimal parameter guidance, the description is inadequate. It doesn't address what happens post-cancellation, error conditions, or how to verify success, leaving critical gaps for effective use.
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?
The description mentions no parameters, and the schema has 0% description coverage with one undocumented parameter ('task_id'). However, since there's only one parameter, the baseline is 4, but the description doesn't add any semantic context (e.g., what constitutes a valid task ID, where to find it), so it's reduced to 3 for failing to compensate for the schema 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 ('Cancel') and target ('a running task'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from potential sibling tools like 'abort_workflow' or 'cancel_elicitation_request' that might also terminate processes, leaving some ambiguity about its specific domain.
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 'abort_workflow' or 'cancel_elicitation_request' from the sibling list. It doesn't specify prerequisites (e.g., task must be running) or exclusions, offering minimal contextual direction beyond the basic action.
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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