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blender_atlasing

Advanced material and texture atlasing for VR performance optimization.

Instructions

Advanced material and texture atlasing for VR performance optimization.

Reduces draw calls by intelligently merging materials and textures into atlas layouts, critical for mobile VR performance on Quest and similar devices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paddingNoPadding between atlas regions in pixels
operationNoAtlasing operation typecreate_material_atlas
atlas_infoNoPre-calculated atlas information for UV layout
atlas_sizeNoSize of atlas texture (512, 1024, 2048, 4096)
output_pathNoPath for atlas texture output//material_atlas.png
target_meshNoTarget mesh object (defaults to active)
max_materialsNoMaximum materials for draw call optimization
texture_pathsNoList of texture files for texture atlas
combine_similarNoMerge materials with similar properties
combine_by_colorNoMerge materials with similar base colors
preserve_normalsNoMaintain normal map assignments during optimization

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint false and destructiveHint false, so the tool is known to mutate state but not destroy it. The description adds that it 'merges materials and textures' and 'reduces draw calls,' which gives some behavior context. However, it does not disclose potential side effects like modification of existing materials or assets, reversibility, or whether it changes the scene permanently. This is a moderate level of transparency.

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 two sentences long, front-loaded with the core purpose, and every sentence is informative. It avoids fluff and clearly communicates the tool's value proposition.

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 (11 parameters, output schema, four operation types), the description provides a high-level use case and motivation but does not detail the different operations or typical workflows. However, the rich schema and annotations fill most gaps, so only a slight deduction is warranted.

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 description coverage is 100%, meaning all 11 parameters have detailed descriptions in the schema. The tool description itself adds no parameter-level details beyond the schema, so it meets the baseline but does not enhance parameter understanding. No gaps to compensate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'material and texture atlasing for VR performance optimization' and 'Reduces draw calls by intelligently merging materials and textures.' It uses specific verbs and identifies the resource, but does not explicitly distinguish itself from sibling tools like blender_materials or blender_textures, so it falls short of a perfect 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear usage context: 'critical for mobile VR performance on Quest and similar devices.' This implies when to use the tool (VR optimization scenarios) but does not explicitly mention alternatives or situations where it should not be used, so it scores just below the 5 threshold.

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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