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OnStartups

Agent.ai MCP Server

by OnStartups

generate_image

Generate images from text prompts using AI models. Choose style and aspect ratio to create visuals that fit your project.

Instructions

Create images using AI models, with options for style and aspect ratio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesGenerates an image based on the provided text. Example user prompt: generate an image of a sunset using the DALL-E 3 model.
modelYesLLM model to use for text generation.DALL-E 3
model_styleYesStyledefault
model_aspect_ratioYesAspect Ratio9:16
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It only states 'create images' without explaining output format, error handling, rate limits, or any side effects. This is insufficient for a tool with no annotations.

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 sentence of 12 words, front-loaded with the action, and contains no redundant information.

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 4 required parameters with enums and no output schema, the description is too brief. It lacks information about the return value (e.g., image URL) and any prerequisites or post-conditions.

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 baseline is 3. The description adds minimal value, only echoing that options exist for style and aspect ratio. It does not correct the misleading schema description for 'model' (which says 'text generation').

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 verb 'create' and the resource 'images using AI models', with specific options for style and aspect ratio. It effectively differentiates from sibling tools focused on research or text generation.

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 guidance on when to use this tool versus alternatives like 'social_post_creator_generate_social_image_action' or 'youtube_thumbnail_generate_packaging_action'. There is no mention of when-not-to-use or alternative tools.

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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