novai_generate_image

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 not disclose authentication needs, cost implications, rate limits, latency/sync behavior, content-policy constraints, or what happens on generation failure. The presence of an output schema reduces the need to explain return values, but critical operational traits remain unstated.

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?

The definition is a single front-loaded sentence with no filler or redundancy. It is concise, though its brevity reflects under-specification rather than deliberate economy.

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 generation tool with no annotations, zero schema description coverage, and only two parameters, the description is too thin. The output schema helps with return values, but the definition lacks guidance on model selection, cost, constraints, and expected behavior — information an agent needs to invoke it correctly.

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 schema documents both parameters only as bare titles with 0% description coverage. The description mentions model families in passing but does not explain how they map to the `model` parameter, nor does it add any meaning about the `prompt` parameter. With two undocumented parameters, the description does not compensate for the schema gap.

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 states a specific verb and resource — generating images — and names concrete model families (Seedream, Hunyuan, CogView). It is distinguishable from siblings, which are chat/model-listing/pricing tools rather than image generators, though it does not explicitly contrast with them.

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 guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The model-family examples hint at available options but do not tell an agent which model to pick or under what circumstances.

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