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blender_auto_light_scene

Build a complete lighting rig for a Blender scene. Select objects, choose a style (three-point, studio, outdoor, dramatic, product), and lights are placed to frame the subject.

Instructions

Build a complete lighting rig aimed at the subject.

Framing is derived from the target objects' bounds, so the lights land at a sensible distance instead of at a hard-coded guess.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
applyNo
styleNoLighting setup to build.three_point
objectsNoObjects the lights should frame.
response_formatNo'markdown' for readable output, 'json' for raw structured data.markdown

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv4.4.0

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already indicate a mutating, non-destructive operation. The description adds that framing is derived from object bounds, which meaningfully informs how lights are positioned. It doesn't disclose whether existing lights are cleared, but destructiveHint=false mitigates that concern.

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?

Two concise sentences, front-loaded with the main action, and the second sentence adds a valuable detail about framing logic without any filler.

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?

Covers the main behavior and framing rationale, but doesn't explain the 'apply' parameter semantics or behavior when 'objects' is null. Given 4 parameters and no output schema, some gaps remain for correct invocation.

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 covers 75% of parameters with descriptions (style, objects, response_format). The description adds no additional parameter semantics beyond what the schema provides, so the baseline 3 applies.

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?

States a specific verb ('Build') with a clear resource ('complete lighting rig') aimed at 'the subject'. The framing detail adds specificity and distinguishes it from individual light-adding tools like blender_add_light.

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?

Implied use for setting up scene lighting, but no explicit guidance on when to use this versus adding individual lights or other alternatives. No exclusions or conditions are provided, leaving the choice to inference.

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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