generate_images

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It only states the action without explaining side effects, response format, rate limits, costs, or whether images are saved or returned. This is insufficient for a generation tool with 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 concise sentence with no redundant phrasing. It is front-loaded and easy to parse, though it is possibly too brief for a tool that would benefit from usage guidance. Still, it earns its place as a clear one-line summary.

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 the tool's complexity (3 params, no output schema, no annotations), the description is too sparse. It does not clarify what the generated images look like, how they are returned, or how the category and numberOfImages parameters affect behavior. The sibling tool's existence also suggests more context is needed.

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 input schema covers all three parameters with descriptions, so the baseline is 3. The description does not add extra semantic meaning beyond the schema; it only mentions the model provider. Since schema coverage is 100%, no significant gap exists.

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 images using Google Gemini AI, which is a specific verb-resource combination. However, it does not differentiate from the sibling tool create_image_html, so some ambiguity remains about when to choose one over the other.

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?

No guidance is provided about when to use this tool versus create_image_html or any alternatives. There is no mention of prerequisites, exclusions, or contexts where sibling tools would be more appropriate.

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