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

With no annotations and no output schema, the description carries the full burden, and it does disclose the return contents: parameter name, type, allowed values, defaults, and output shape. It does not state whether the call is strictly read-only or what happens for an unknown model id, but the 'get'/'schema' framing makes the read-only nature reasonably evident.

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?

It is a single tight sentence with zero waste, but as a verbless fragment it does not front-load the action ('returns the schema for...'), making it slightly less scannable than it could be.

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 simple one-parameter lookup tool with no annotations and no output schema, the description adequately explains what comes back. The main omission is guidance on when in a workflow to call it, which would complete an otherwise sufficient definition.

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?

There is only one parameter at 100% schema coverage, and the schema already provides the id format example (gpt-image-2). The description's phrase 'for every task a model supports' clarifies that the scope is the full task set of that model, which adds only marginal information 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 names a specific resource (input parameters and output shape for the tasks a model supports), so it is clear this tool returns a schema rather than data or pricing. However, it is a noun phrase with no verb and does not distinguish itself from siblings like search_models or get_pricing.

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 statement of when to call this tool versus alternatives, and no mention that it is typically used to inspect a model before run_model/submit_job. Usage must be inferred from the name and sibling list alone.

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