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dwgx

Blender Copilot MCP Server

by dwgx

setup_studio_lighting

Configure professional studio lighting in Blender. Choose from three-point, Rembrandt, soft box, or sun styles to match your scene.

Instructions

Set up professional studio lighting. Removes existing lights and creates a new setup. Styles: THREE_POINT (key/fill/rim), REMBRANDT (dramatic), SOFT_BOX (even, soft), or default SUN lighting for outdoor scenes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
styleNoTHREE_POINT
Behavior3/5

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

The description discloses the key behavioral trait of removing existing lights before creating a new setup, which is valuable. However, it does not mention other behaviors like whether it modifies existing lights, the number of lights created per style, or any side effects on other scene elements.

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 (two sentences plus a bullet-like list of styles) and front-loaded with the primary action. Every sentence provides distinct information, though a slight structural improvement could group style descriptions more clearly.

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 tool with one parameter and no output schema, the description covers the main purpose and parameter semantics. However, it lacks information about return value, success messages, or any prerequisites, which are minor gaps given the tool's simplicity.

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 input schema has 0% description coverage for the single parameter 'style', but the main description lists all styles with brief explanations, adding significant meaning beyond the schema. This compensates for the lack of schema-level documentation.

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 it sets up studio lighting, specifies that it removes existing lights, and lists distinct styles (THREE_POINT, REMBRANDT, SOFT_BOX, SUN), differentiating it from sibling tools like light_setup_three_point which is more specific.

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 provide guidance on when to use this tool versus alternatives like light_setup_three_point or light_setup_studio. Without explicit usage context, an AI agent may struggle to select the appropriate tool among similar siblings.

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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