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

With readOnlyHint=true already communicating the safety profile, the description adds the plain-text nature of the log and the exact Batch API endpoint, which helps the agent understand what to expect without contradicting annotations.

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?

Two sentences: the first states purpose and use case, the second provides the API reference. No wasted words, front-loaded with the essential information.

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?

For a single-parameter, read-only tool with no output schema, the description fully covers what the tool does, when to use it, and how to invoke it via the API path. Nothing essential is missing.

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?

Schema coverage is 100% for the sole parameter job_id, so the schema already defines it. The description's endpoint path slightly reinforces that it is interpolated into the URL, but doesn't add substantive meaning beyond the schema.

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 clearly identifies the action (Get) and resource (job's plain-text processing log), and adds the debugging context that distinguishes it from sibling tools like get_job and get_transcript.

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?

It explicitly states the tool is useful for debugging a rejected job, which conveys a clear use case. It doesn't name alternative tools or exclusions, but the context is sufficient for selecting it appropriately.

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