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image_generate

Generate images from text descriptions. Provide a prompt and optional parameters to produce AI-generated visuals.

Instructions

文本生成图像。使用 gpt-5.5 /v1/responses + image_generation。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
sizeNo1024x1024
nNo
modelNo
save_dirNo
basenameNo
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations exist; description only mentions backend but lacks information on authentication (api_key parameter), rate limits, or side effects. Minimal behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, efficiently stating purpose, but omits essential details, making it too sparse to be truly helpful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 7 parameters and output schema present, the description fails to explain usage, parameter roles, save behavior, or output format. Severely incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds no explanation for any of the 7 parameters. Parameter purposes are entirely implicit from names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool generates images from text and mentions the backend (gpt-5.5 /v1/responses + image_generation), distinguishing it from sibling tools like image_edit and image_batch_edit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives like image_edit or image_batch_edit. No prerequisites or context provided.

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

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