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post-job-action-by-job-id

Cancel running AI image generation jobs on Scenario.com by specifying the job ID to manage workflow execution.

Instructions

Trigger an action on a job: cancel

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdYesThe job Id
actionNoThe action to execute on the job, such as canceling it. Today only cancel on inference jobs is supported.
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the tool triggers a cancel action, implying mutation/destructive behavior, but doesn't disclose important traits: whether cancellation is reversible, permission requirements, rate limits, or what the response contains. For a mutation tool with zero annotation coverage, this is inadequate.

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?

Extremely concise with zero wasted words. The single sentence 'Trigger an action on a job: cancel' is front-loaded and efficiently communicates the core purpose. Every word earns its place.

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

Completeness2/5

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

For a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't explain behavioral consequences (what cancellation entails), success/failure responses, or constraints (only inference jobs). Given the complexity of job management and rich sibling toolset, more context is needed.

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 description coverage is 100%, so the schema fully documents both parameters (jobId, action). The description adds no parameter-specific information beyond what's in the schema. The baseline score of 3 reflects adequate coverage by the schema alone.

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

Purpose4/5

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

The description clearly states the verb ('trigger') and resource ('job'), specifying the action is 'cancel'. It distinguishes from siblings by focusing on job actions rather than asset/model operations. However, it doesn't explicitly differentiate from similar action tools like 'post-model-training-action-by-model-id'.

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

Usage Guidelines2/5

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 is provided. The description doesn't mention prerequisites (e.g., job must be running), limitations (only inference jobs), or what happens after cancellation. With many sibling tools, this lack of context is a significant gap.

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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