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ray_job_cancel

Cancel a submitted or running Ray job by providing its job ID. Optionally specify an inference target to scope the operation.

Instructions

[WRITE][risk=medium] Stop a submitted/running Ray job.

Args: job_id: Job id (from ray_job_list). target: Inference target name from config; omit for the default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes
targetNo
Behavior2/5

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

No annotations are provided, so the description bears the full burden. It states the tool stops a job but does not disclose side effects (e.g., cleanup behavior), success/failure indicators, or whether the operation is synchronous. The [risk=medium] tag is present but insufficient without further detail.

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?

The description is extremely concise: one line for action and two lines for parameters. The [WRITE][risk=medium] prefix front-loads important metadata. No unnecessary words.

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

Completeness3/5

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

Given 2 parameters, no output schema, and no annotations, the description covers the basics: action and parameter meanings. However, it lacks any mention of return value, error conditions, or post-conditions, leaving gaps for an agent.

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?

With 0% schema description coverage, the description adds meaning: job_id is sourced from ray_job_list, and target is an optional inference target name. This provides context beyond the raw schema, but could be improved by specifying expected formats or constraints.

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 ('Stop a submitted/running Ray job') with specific verb and resource. The [WRITE][risk=medium] prefix further distinguishes it as a mutation tool, and the sibling list includes ray_job_list (a different operation), so no confusion.

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 hints at usage by noting that job_id comes from ray_job_list, implying a workflow. However, it does not explicitly state when to use this tool versus alternatives or when not to use it. A clearer usage condition would improve this dimension.

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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