get_image_model

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

No annotations are provided, so the description carries the full burden. It usefully discloses the return content in detail, but says nothing about permissions, authentication requirements, rate limits, or whether missing ids raise an error versus returning empty. For a no-annotation tool that is a real, if modest, gap.

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?

Front-loaded one-line summary followed by a scannable enumeration of the payload and a short Args block. No filler, though the multi-line return breakdown is slightly longer than needed for a one-parameter read tool.

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?

With no output schema, describing the returned sections is exactly the right compensation and is done well. The main omission is any behavioral/prerequisite context (auth, error behavior), which matters more given the absence of annotations.

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 0% and the single param is undocumented in the schema, so the description must compensate. It does: it defines model_id as the exact id and tells the agent where to obtain it (list_image_models), which is meaning beyond the bare 'Model Id' title.

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 and resource ('Show full details for one image model') and enumerates what comes back (description, capabilities, provider endpoint sections, passthrough params, pricing). This clearly separates it from the sibling list_image_models, which returns a collection rather than a single model's full detail.

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 only implied: the model_id arg is described as 'Exact model id from `list_image_models`', which hints you should list first. There is no explicit statement of when to prefer this over list_image_models or any exclusion conditions.

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