Skip to main content
Glama

set_material_color

Set the base color of a material's Principled BSDF node using RGBA values.

Instructions

Set the base color of a material's Principled BSDF node.

Args: material_name: Name of the material. color: RGBA color as a list of 4 floats (0.0-1.0). e.g. [1.0, 0.0, 0.0, 1.0] for red.

Returns: Confirmation dict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
material_nameYes
colorYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must disclose all behavioral traits. It states the action and return type but does not explain what happens if the material is missing or lacks a Principled BSDF node, nor does it describe side effects or permissions needed.

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 with three lines of useful information. It follows a clear structure: purpose, args, returns. The inclusion of 'Returns: Confirmation dict.' is slightly redundant given it is a setter, but not detrimental.

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 simple setter tool with an output schema (implied), the description covers the core function and parameters. However, it lacks error handling context and does not mention any constraints (e.g., material must have Principled BSDF node). Given the tool's simplicity, this is adequate but not comprehensive.

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?

The description adds significant meaning to the color parameter: 'RGBA color as a list of 4 floats (0.0-1.0). e.g. [1.0, 0.0, 0.0, 1.0] for red.' The input schema only specifies 'array' with no item type or range, so the description compensates well.

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 action: 'Set the base color of a material's Principled BSDF node.' It specifies the verb (set) and the resource (base color of a material's Principled BSDF node), differentiating it from siblings like set_material_property or assign_material.

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 provides no guidance on when to use this tool versus alternatives like set_material_property. It does not mention prerequisites such as material existence or the presence of a Principled BSDF node, leaving the agent to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/HoldMyBeer-gg/blend-ai'

If you have feedback or need assistance with the MCP directory API, please join our Discord server