text_to_image_create

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

No annotations are provided, so the description bears full responsibility. It states the basic behavior (generate an image) and lists two models, but it omits important traits such as whether the operation is synchronous, any side effects, permission requirements, or output format. The description adds minimal behavioral context beyond the obvious.

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 extremely concise with two sentences, front-loading the primary purpose and then listing the models. Every sentence adds value, and there is no redundancy or filler.

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?

Despite having schema descriptions for parameters, the tool lacks an output schema and annotations. The description does not clarify what the output looks like (e.g., image URL, base64), how to handle errors, or any asynchronous behavior. For a generative tool with 6 parameters, this is a significant gap.

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% with descriptions for all 6 parameters. The description adds no additional meaning beyond the schema, such as clarifying behavior or relationships between parameters. Baseline of 3 is appropriate since the schema already covers the parameters.

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 verb 'generate' and the resource 'an image from text', and it distinguishes from siblings by explicitly noting its use as input for image-to-3D. This helps the agent differentiate from other image generation tools.

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 hints at a specific use case ('useful as input for image-to-3D') but does not provide explicit when-to-use or when-not-to-use guidance compared to alternatives like image_to_image_create or text_to_3d_create. The guidance is implied but incomplete.

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