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OpenRouter Image Generation MCP Server

generate_image

Generate images from text descriptions, controlling style, aspect ratio, and composition through detailed prompts.

Instructions

Generate images using Google Gemini API. Control image style, aspect ratio, and composition through descriptive text in your prompt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesText description of the image to generate. Include style details (e.g., "photorealistic", "oil painting"), aspect ratio (e.g., "square image", "landscape"), and composition details directly in the prompt.
save_to_fileNoSave generated image to local file
filenameNoBase filename for saved image (without extension)
show_full_responseNoShow full response including base64 data (default: false)
Behavior2/5

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

With no annotations, the description must shoulder the burden of behavioral disclosure. It fails to mention key traits such as authentication requirements, failure behavior, rate limits, or whether the image is returned as a URL or base64 data. The description only states the general function.

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?

Two sentences, no fluff, front-loaded with the main action. Every word earns its place.

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 no output schema and no annotations, the description should compensate by explaining what the tool returns. It does not mention output format or any other contextual details required for correct usage.

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 coverage is 100%, so the baseline is 3. The description adds redundancy by repeating the prompt's role but adds no new meaning beyond the schema's detailed parameter descriptions.

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?

Description clearly states 'Generate images using Google Gemini API' and explains how to control style, aspect ratio, and composition, distinguishing it from the sibling tool 'list_models'.

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?

No explicit guidance on when to use or not use this tool versus alternatives. Only one sibling exists, which serves a completely different purpose, so usage context is implied but not explicitly stated.

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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