generate_image

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

Annotations indicate destructiveHint: true, but the description says 'Generate an AI image' which typically implies creation, not destruction. This contradiction suggests potential harmful effects (e.g., billing or overwriting) that are not disclosed. The description does not mention rate limits, costs, or side effects.

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 description is a single short sentence, front-loaded with the key action. However, mentioning provider names duplicates schema content, but it's still efficient with no wasted words.

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 4 parameters, no output schema, and a destructive annotation, the description is insufficient. It does not explain what the output is (e.g., URL, file path), how to use the image, or any return format. Sibling tools have more complete descriptions, making this one feel incomplete.

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 100%, so the description adds minimal value beyond the schema. Listing providers (Imagen 4, Flux, Stable Diffusion) mirrors the enums, and no extra parameter guidance is given.

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 clearly states the tool generates AI images for ad creatives, specifying the verb (generate), resource (AI image), and context (ad creatives). It lists specific models (Imagen 4, Flux, Stable Diffusion) and is distinct from sibling tools like generate_video and upload_image.

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 provides no guidance on when to use this tool versus alternatives like upload_image or generate_video. It does not mention prerequisites, ideal use cases, or when not to use it.

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