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Get Job Status

get_job_status
Read-only

Check the status of a Beaker job and diagnose failures. Retrieves detailed job information including recipe sets, recipes, and tasks, then highlights any problems found.

Instructions

Check the status of a Beaker job and diagnose any failures.

Fetches detailed job information including recipe sets, recipes, and tasks, then highlights any problems found with failure analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesBeaker job ID. Accepts 'J:12345' or '12345'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate readOnlyHint=true. The description adds value by describing the analysis and highlighting of problems, which goes beyond mere read behavior. No contradictions.

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 succinctly convey primary purpose and additional detail. No waste, front-loaded with key action.

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?

With a single parameter, an output schema (implied), and the description covering what the tool returns (detailed info, recipe sets, recipes, tasks, failure analysis), it is complete.

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 the schema already describes the job_id parameter with format. The tool description does not add additional semantics beyond what the schema provides, so baseline 3 applies.

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 uses specific verbs 'check status' and 'diagnose failures' with a clear resource 'Beaker job'. It distinguishes from siblings like get_job_logs and get_job_results_xml by focusing on overall status and failure analysis.

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 clearly states when to use: to check job status and diagnose failures. It does not explicitly mention when not to use or point to alternatives, but the context of siblings helps infer.

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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