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Create Chrome Blobs

create_chrome_blobs

Generates a liquid chrome metaball animation system in TouchDesigner with controls for speed, blob count, metal tint, and background.

Instructions

Builds a liquid-chrome / Y2K metaball generator: an animated Noise TOP (or external source) is blurred, thresholded into soft blobs, then a GLSL TOP renders a procedural environment-map chrome look (greyscale ramp + moving specular highlight) with 5 metal tints and 4 background modes. Creates a self-contained baseCOMP with Speed, Blob_Count, Metal_Color, and Background controls exposed on the container.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parent_pathNoParent network where the chrome-blobs COMP is created (default '/project1')./project1
nameNoName for the system container COMP (default 'chrome_blobs').chrome_blobs
source_top_pathNoOptional external TOP to use as the blob field (pulls in via Select TOP). When omitted, an animated Noise TOP generates the blobs.
countNoLogical blob count — drives noise harmonics + blur/threshold params (1–32, default 8).
speedNoNoise animation speed — controls the absTime.seconds multiplier on noise TX/TZ (0–4, default 0.5).
metal_colorNoChrome tint palette for the GLSL environment-map shader (default 'silver').silver
backgroundNoBackground behind the chrome blobs — black, white, studio (soft radial), or gradient (vertical chrome studio) (default 'black').black
Behavior4/5

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

Annotations (readOnlyHint=false, destructiveHint=false, openWorldHint=true) are present and the description adds value by explaining that the tool creates a baseCOMP with specific exposed parameters (Speed, Blob_Count, Metal_Color, Background). It also describes the shader process and available options (5 tints, 4 backgrounds), which provides meaningful behavioral context beyond what annotations alone offer.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise (a single sentence) yet comprehensive. It conveys all essential information without unnecessary fluff. However, it could be slightly improved by breaking into multiple sentences for readability, but overall it is well-structured and front-loaded.

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 tool's complexity (7 parameters, no output schema), the description adequately explains the tool's function, the generated component, and the exposed controls. It covers the core aspects needed for an AI agent to understand what the tool does and what parameters affect. No major gaps identified.

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 the baseline is 3. The description restates some parameter roles (e.g., 'Speed', 'Blob_Count') but does not add substantial new meaning beyond the schema's own descriptions. The parameter count is high (7), but the description covers the main controls without delving into technical details.

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 specifies the action ('Builds...'), the resource ('a liquid-chrome / Y2K metaball generator'), and the resulting component ('self-contained baseCOMP'). It provides a step-by-step outline of the process and lists the generated controls, making the purpose unmistakable.

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 does not indicate when to use this tool versus alternatives (e.g., other create_ tools like create_audio_reactive, create_fluid_sim). There is no mention of prerequisites, scenarios, or exclusions. While the purpose is clear, the lack of contextual guidance reduces usability.

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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