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Blender Copilot MCP Server

by dwgx

configure_render

Adjust render engine, resolution, samples, denoising, transparency, GPU usage, and color management for upcoming renders without starting the render process.

Instructions

Configure render settings without rendering. Engine: CYCLES, BLENDER_EEVEE_NEXT. Resolution is [width, height]. denoise=True enables AI denoising in Cycles. transparent_bg=True for transparent background. color_management can set view_transform, look, exposure, gamma.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
engineNo
denoiseNo
samplesNo
use_gpuNo
resolutionNo
transparent_bgNo
color_managementNo
Behavior4/5

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

With no annotations, the description carries full burden. It discloses critical behavior: no rendering occurs, denoise is Cycles-specific, resolution format is [width, height], and transparent_bg and color_management details. This adds meaningful context beyond parameter names, though it omits effects of samples and use_gpu.

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 concise: two sentences front-loaded with the primary action. Each sentence adds necessary detail without redundancy. No filler or vague language.

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 and 7 parameters with 0% schema coverage, the description covers most critical parameters (5 of 7) and explains their impact. It lacks detail on samples and use_gpu, and does not mention return value or side effects, but for a configuration tool, the completeness is adequate.

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 0%, so description must compensate. It explains resolution format (array of two ints), denoise (enables AI denoising in Cycles), transparent_bg (boolean), and color_management (object with view_transform, look, exposure, gamma). This adds significant value, but it does not describe samples or use_gpu, leaving gaps.

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 tool's purpose: 'Configure render settings without rendering.' It specifies the supported engines (CYCLES, BLENDER_EEVEE_NEXT) and key settings, making the action unambiguous. It effectively distinguishes from sibling tools that actually perform rendering.

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 implies usage context by stating 'without rendering,' suggesting this tool is for setup, not execution. However, it does not explicitly provide when-to-use guidance, list alternatives, or mention prerequisites. The guidance is implied but not robust.

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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