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 does reveal the return contents (status and image), which hints at an async lifecycle, but says nothing about how long a job takes, whether repeated polling is expected, what status values mean, auth requirements, or error behavior.

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?

A single short sentence with the resource and return contents front-loaded and no filler. It is efficient, though it is so terse that it edges into under-specification.

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 job-status tool with no annotations and no output schema, the description is too thin. It does not explain the polling model, the possible status values, what the image represents, or failure handling – all of which an agent needs to invoke it correctly in a loop.

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 'id' parameter has 0% schema description coverage, so the description must compensate. 'for a visualize_kitchen job' does imply the id is a job identifier, but it gives no format, source, or validity guidance beyond that.

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?

States a specific verb+resource: it returns the status and image for a job created by visualize_kitchen, which distinguishes it from the sibling that creates jobs. It never explicitly names the sibling as a dependency, but the resource 'visualize_kitchen job' makes the pairing clear.

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?

Usage is implied by the phrase 'for a visualize_kitchen job' – an agent can infer this is the follow-up call after visualize_kitchen. There is no explicit when/when-not guidance, no mention of polling, and no statement of prerequisites or alternatives.

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