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gemini_imagen_generate_tool

Generate images from text prompts using Google Imagen models. Choose from fast, standard, or ultra quality tiers, adjust aspect ratio, and create up to 4 images per call.

Instructions

Generate images using Google Imagen 4 models.

Models (sorted by price):

  • imagen-4.0-fast-generate-001 ($0.02/image, fastest)

  • imagen-4.0-generate-001 ($0.04/image, standard)

  • imagen-4.0-ultra-generate-001 ($0.06/image, highest quality)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoImagen model to use.imagen-4.0-generate-001
promptYesDescription of the image to generate.
aspect_ratioNoAspect ratio (1:1, 3:4, 4:3, 9:16, 16:9).1:1
number_of_imagesNoNumber of images to generate (1-4).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden. It only mentions model options and pricing but fails to disclose output format, whether generation is synchronous, or any rate limits or auth requirements. This is a significant gap for a mutation-like tool.

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 concise and efficient: two sentences. The first states purpose, the second lists models in a clear bullet-like format. No redundant or excessive text. Front-loaded with the core action.

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

Completeness4/5

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

The tool is simple, and the schema plus output schema cover return details. The description includes model selection context (prices/speed) which is essential for informed use. However, it doesn't mention interactions with other tools or whether this is part of a session flow, but that's not strictly required for this standalone generation tool.

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

Parameters4/5

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

Schema description coverage is 100%, so the baseline is 3. The description adds meaningful value by sorting models by price and highlighting speed/quality trade-offs, which helps agents choose the right model parameter. Other parameters (aspect_ratio, number_of_images) are adequately covered by schema and need no extra explanation.

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 using Google Imagen 4 models. It lists specific model variants with pricing and speed, which differentiates it from sibling tools like gemini_generate_image_tool. The verb+resource phrasing is specific and unambiguous.

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

Usage Guidelines3/5

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

The description implies usage for Imagen-based image generation but doesn't explicitly contrast with other image generation tools (e.g., gemini_generate_image_tool) or state when to choose this tool over alternatives. There are no exclusions or prerequisites mentioned, so guidance is only implicit.

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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