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hpc_cancel

Cancel a specific LSF job submitted by your project. Provide the numeric job ID to stop it.

Instructions

Cancel one LSF job. Only cancel jobs this project submitted.

Args: job_id: Numeric LSF job id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the destructive action and project restriction, but lacks details on error behavior (e.g., if job is not from this project) or side effects.

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

Conciseness4/5

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

The description is short and front-loaded with the main action and constraint. It could be slightly more structured but is concise and effective.

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

Completeness4/5

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

For a simple one-parameter tool that cancels a job, the description is adequate. It covers the essential action and scope. The presence of an output schema (not shown) likely covers return values.

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

Parameters4/5

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

The input schema has 0% description coverage, but the description adds 'Numeric LSF job id' to the job_id parameter, clarifying that the string should be numeric. This adds meaning beyond the schema.

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

Purpose5/5

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

The description clearly states the tool cancels one LSF job and specifies the project constraint. The name 'hpc_cancel' is self-explanatory and distinct from sibling tools like hpc_status or hpc_fetch_log.

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

Usage Guidelines4/5

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

The description explicitly states the tool can only cancel jobs from the project that submitted it, providing a clear usage condition. However, it does not mention when not to use it or suggest alternatives like checking job status first.

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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