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create_image_pixflux

Generate pixel art with customizable outline, shading, detail, and perspective. Control image size, view direction, and canvas coverage for precise creation.

Instructions

Generate pixel art using the legacy Pixflux engine. 32-400px. Prefer generate_image (v2) for most tasks — use Pixflux only when you need fine-grained control over outline/shading/detail style params, view/direction, or coverage_percentage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNoSeed for deterministic generation (default 0)
viewNoCamera perspective
detailNoDetail level
outlineNoOutline style
shadingNoShading style
directionNoCharacter facing direction
isometricNoGenerate in isometric view (default false)
image_sizeYes32x32 to 400x400
init_imageNoStarting image for img2img
color_imageNoColor palette reference image
descriptionYesImage description
no_backgroundNoGenerate with transparent background
coverage_percentageNoPercentage of canvas to cover (0-100)
init_image_strengthNoInitial image influence strength (0-1000, default 300)
text_guidance_scaleNoHow closely to follow text (1.0-20.0, default 8.0)
negative_descriptionNoWhat to avoid in generation
Behavior2/5

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

No annotations provided, and the description does not disclose any behavioral traits such as credit consumption, rate limits, or whether it is a write operation. It only mentions it's 'legacy', which is minimal.

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 extraneous information. Purpose and usage guidance are front-loaded, making it efficient.

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?

While the description covers purpose and usage, it lacks details about output (e.g., returns a job ID or image), required parameters, or potential side effects. With no output schema and 16 parameters, more context would be helpful.

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 baseline is 3. The description adds context for a subset of parameters (outline, shading, detail, view, direction, coverage_percentage) but does not explain any parameter beyond what the schema provides.

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 'Generate pixel art using the legacy Pixflux engine' and distinguishes it from the sibling tool 'generate_image' by specifying when to use each.

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?

Explicitly advises 'Prefer generate_image (v2) for most tasks — use Pixflux only when you need fine-grained control over outline/shading/detail style params, view/direction, or coverage_percentage.' Provides clear context and alternatives.

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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