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cancel_job

Cancel a running or queued fine-tuning job to stop processing and avoid further charges, though GPU time already used will be billed.

Instructions

Cancel a running or queued fine-tuning job. The job will be charged for any GPU time already used.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesJob ID to cancel
Behavior4/5

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

The description discloses a key behavioral trait beyond annotations: the job will be charged for GPU time already used. This adds significant value and helps the agent understand the financial impact.

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?

Two sentences, front-loaded with the core action, and no wasted words. Every sentence serves a purpose.

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

Completeness5/5

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

Given the simplicity of the tool (1 parameter, no output schema), the description covers the purpose, parameter, and a key consequence (charging). It is fully adequate for this context.

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 coverage is 100% and description of parameter (job_id) is already provided in the schema. The description adds no further semantic information beyond what the schema indicates.

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 action ('Cancel') and the specific resource ('running or queued fine-tuning job'), making it distinct from siblings like cancel_evaluation or retry_job.

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

Usage Guidelines3/5

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

The description implies usage when canceling a fine-tuning job but does not explicitly state when not to use it or provide alternatives. The context of sibling tools offers implicit differentiation, but explicit guidance is missing.

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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