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generate_icon

Creates a square app icon from a text description using AI. Suitable for mobile app store listings. Returns the image and saves it to disk.

Instructions

Generate an app icon using AI. Creates a square icon suitable for mobile app stores. Returns the generated image and saves it to disk.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesDescription of the app icon to generate (e.g., "a minimalist camera icon with blue gradient")
modelNoOptional Gemini model override for this request
outputDirNoOptional output directory (default: ~/app-publisher-assets)
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that the tool returns the image and saves it to disk, but omits details about overwrite behavior, API costs, auth requirements, or output format specifics.

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 with clear action and outcome, no redundant text. Information is front-loaded and each sentence adds value.

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

Completeness3/5

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

For a generative AI tool with no output schema, the description covers purpose and storage but lacks details on return format, image dimensions, potential failures, or side effects beyond saving to disk.

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% with each parameter described. The description adds little beyond the schema (e.g., 'square' format, store suitability). It does not explain how model or outputDir affect behavior substantively.

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 an AI-powered app icon, specifies it is square and for mobile app stores, and distinguishes from sibling tools like generate_screenshot or generate_splash by focusing on icons.

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 mobile app store icons but does not explicitly state when to use this tool vs alternatives like generate_screenshot or resize_icons, nor does it mention prerequisites 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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