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generate_image

Generate an image from a text prompt using Google Gemini. Describe the desired visual to create custom images.

Instructions

Generate an image using Google Gemini

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
saveNoWhether to save the generated image to the filesystem
topKNoTop-k parameter for sampling
topPNoTop-p parameter for sampling
modelNoModel to usegemini-2.0-flash-preview-image-generation
promptYesText description of the image to generate
temperatureNoTemperature for generation (0.0 to 1.0)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the action and model, omitting any context about side effects such as saving to filesystem, return format, or permission requirements.

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

Conciseness5/5

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

The description is a single concise sentence with no unnecessary words. It efficiently states the core purpose.

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

Completeness2/5

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

Given there is no output schema and no annotations, the description does not explain the return value, output format, or any operational details. It relies entirely on the schema, which is insufficient for a generation tool.

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

Parameters3/5

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

Schema description coverage is 100%, so the parameters are already fully documented in the schema. The description adds no additional meaning about parameter usage or format.

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 uses the specific verb 'generate' with the resource 'an image' and names the underlying model 'Google Gemini'. It clearly distinguishes from sibling tools generate_video and generate_video_from_image, which target video.

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?

The description provides no explicit guidance on when to use this tool versus the video generation siblings. The name and verb imply image generation, but there is no mention of alternatives or exclusions.

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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