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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds useful behavioral context: expected polling cadence, typical runtime, and what metrics are checked. There is no contradiction with the 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, front-loaded with purpose and response fields, followed by a concise rate-limit warning. Every sentence earns its place with no unnecessary jargon or repetition.

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?

Given a single simple parameter, an output schema, and annotations covering the safety profile, the description provides the necessary purpose and polling guidance. It could be slightly stronger by explicitly directing users away from get_training_job or related create tools, but it is not incomplete for a simple status check.

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 description coverage is 0% and the description does not explain the jobId parameter beyond referring to 'one image training job.' The parameter is a simple self-evident identifier, but the description adds no real semantic value over the schema field definition.

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 opens with 'Use this to check...' and names a specific resource ('one image training job') plus the exact data returned: stage, progress percent, ETA, and download link. This clearly distinguishes it from generic siblings like get_training_job. The 'truthful' typo is minor and does not obscure the intended meaning.

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?

The description gives explicit operational context: 'Poll reasonably; do not call more often than every 20 seconds' and expected runtime of 20–60 minutes. It does not mention alternatives or exclusion criteria relative to sibling tools, so it falls short of a 5.

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