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image_to_pixelart_pro

Convert regular images into higher quality pixel art using advanced engine. Provide source image and optional style instructions; output size is derived automatically.

Instructions

Convert a photograph or regular image into pixel art using the Pro engine. The model derives output size from the input — you only supply the source image and optional style instructions. Higher quality than image_to_pixelart but less manual size control.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNoSeed for deterministic generation (default 0)
imageYesSource image to convert
descriptionNoOptional extra style instructions
Behavior4/5

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

No annotations exist, but the description discloses key behavioral traits: the model derives output size from input, and it has higher quality with less manual control. Does not detail potential side effects or exact output format, but is sufficient for safe usage.

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 concise sentences with no fluff. Front-loaded with the main action and key differentiator. Every sentence adds value.

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?

Given no output schema, the description does not specify what the tool returns (e.g., base64 PNG). However, for image conversion, it is reasonable to assume a pixel art image as output. The missing output info slightly reduces completeness, but overall it adequately covers the tool's role among many siblings.

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 coverage is 100%, baseline 3. Description adds extra context: 'you only supply the source image and optional style instructions' and 'model derives output size from the input', which clarifies parameter usage beyond schema.

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 ('convert'), resource (photograph/image to pixel art), and explicitly distinguishes from sibling 'image_to_pixelart' by mentioning 'Pro engine' and 'higher quality but less manual size control.'

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

Usage Guidelines5/5

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

Provides explicit guidance: 'you only supply the source image and optional style instructions' and contrasts with sibling ('Higher quality...but less manual size control'), indicating when to use vs. the alternative.

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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