gpu_get_job_status

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

No annotations are provided, so the description carries the full behavioral burden. It adds an important caveat that mock data are TEST FIXTURES, but says nothing about authorization, side effects, failure modes, or what state retrieval entails.

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

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

The description is short and front-loaded, but it is under-specified rather than concise. "Job state" is too vague to earn its place as the leading sentence, and the fixture warning, while useful, is the only substantive detail.

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

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

An output schema exists, so return value details are less critical. However, with no annotations and no parameter documentation, the definition is still missing essential context about the sole required input and how this tool relates to its many siblings.

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

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

The single required job_id parameter has 0% schema description coverage, and the description does not mention it at all. An agent gets no information about what job_id should contain or how it is interpreted.

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

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

The description says only "Job state," which restates the tool name without a specific verb or scope. It does not distinguish gpu_get_job_status from siblings such as l2kc_get_job_status or gpu_list_jobs.

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

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

There is no guidance on when to use this tool versus gpu_list_jobs, gpu_get_job_logs, gpu_cancel_job, or the l2kc counterpart. The mock-data warning is useful context but does not tell the agent when this tool is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.