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generate_image

Create and edit images from text prompts using Google Gemini, supporting multi-turn workflows, embedded text, infographics, and interleaved text-image output.

Instructions

Generate or edit images using Google's Gemini image generation models.

Supports conversational image creation/editing, multi-turn workflows, images with embedded text, infographics, and interleaved text+image output.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNonano-banana-2
promptYes
image_sizeNo1K
aspect_ratioNo1:1
thinking_levelNominimal
reference_imagesNo
use_image_searchNo
use_google_searchNo
response_modalitiesNo
Behavior3/5

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

Without annotations, the description adds behavioral context by noting support for multi-turn and interleaved output, but lacks detail on safety, permissions, or side effects. The description is adequate but not comprehensive.

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 brief (two sentences) and front-loaded with the core purpose, followed by supporting capabilities. Every sentence earns its place with no redundancy.

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 the complexity (9 parameters, no output schema, no annotations), the description is insufficient. It does not explain return values or how parameters like model or reference_images affect behavior, leaving significant gaps.

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%, meaning no parameter descriptions exist in the schema. The description does not explain any of the 9 parameters, leaving the agent to infer from names and enums alone.

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 or edits images using Gemini models and lists specific capabilities like conversational workflows, embedded text, and infographics. It distinguishes from sibling tools (speech, video, music) by focusing on images.

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 describes what the tool does but provides no explicit guidance on when to use it versus the sibling tools (generate_speech, generate_video, generate_music). No when-not or alternative scenarios are mentioned.

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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