generate_image

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

No annotations are provided, so the description carries the behavioral burden. It states that the image is displayed in the conversation, that the model defaults to z-image-turbo for speed, and that output is returned directly. It does not discuss failure modes or rate limits, but for a simple generation tool this is reasonably transparent.

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 compact, front-loaded with purpose, and includes a short Args block. There is some redundancy between 'display it in the conversation' and 'Returns the generated image directly,' but overall it is well organized and does not waste many 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?

For a simple one-required-parameter tool the description covers purpose, usage, prompt semantics, and return behavior. The main gaps are the mentioned model parameter that is absent from the schema and the lack of any information about failure behavior or output format.

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 description adds useful meaning for prompt: 'Detailed description of the image to generate,' which the bare schema does not provide. However, it also documents a 'model' argument that is not present in the input schema, making part of the Args guidance unreliable and potentially leading an agent to send an unsupported parameter.

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 opening sentence names a specific verb and resource: 'Generate an image from a text description and display it in the conversation.' It is unambiguous and includes a clear list of trigger synonyms (image, picture, illustration, drawing, artwork, logo). Since there are no sibling tools, no sibling differentiation is required.

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?

It explicitly says 'Use this whenever the user asks for an image, picture, illustration, drawing, artwork, logo, or any visual to be created.' This is direct when-to-use guidance. It also clarifies that the image is returned directly in the conversation, which helps the agent know what kind of result to expect.

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