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Create generative art

create_generative_art

Create evolving generative visuals in TouchDesigner with techniques such as reaction-diffusion, noise landscapes, strange attractors, fractal shaders, or custom GLSL. Includes live speed and color controls.

Instructions

Create an evolving generative visual. reaction_diffusion/noise_landscape use validated recipes; strange_attractor, voronoi, and fractal render real GLSL; custom_glsl uses your shader; the rest fall back to animated noise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
techniqueYes
color_paletteNoFree-text palette hint (best-effort).
evolution_speedNo
custom_glsl_codeNoFragment shader (only for technique 'custom_glsl').
expose_controlsNoExpose a live 'Speed' knob (evolution speed) on the system container.
parent_pathNo/project1
Behavior5/5

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

The description goes well beyond the annotations (readOnlyHint=false, destructiveHint=false) by detailing specific behavioral differences per technique: which use validated recipes, which render real GLSL, and fallback behavior. This provides rich context for the agent.

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 two sentences, front-loaded with the main purpose, and each sentence offers distinct value. No redundancy or fluff.

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 the complexity of 6 parameters and no output schema, the description covers the core behavior well. However, it does not mention what the tool returns (e.g., a reference to the created art) or provide any details about parent_path or evolution_speed beyond what the schema offers.

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?

With 50% schema description coverage, the description adds valuable meaning for the 'technique' parameter by categorizing enum values into groups. However, it does not compensate for missing descriptions on other parameters like evolution_speed or parent_path, which remain undocumented.

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 explicitly states 'Create an evolving generative visual' with a clear verb and resource. It also distinguishes different technique categories (validated recipes, real GLSL, fallback), which helps differentiate from sibling tools like create_glsl_shader or create_visual_system.

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 does not explicitly state when to use this tool over alternatives or when not to use it. It implies usage through technique categories but lacks explicit guidance on selection criteria 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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