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configure_glass_material

Set up a glass or transparent material in EEVEE for windows, lenses, screens, or bottles. Adjust transmission, IOR, and roughness to control transparency and reflection.

Instructions

Configure glass/transparent material for EEVEE.

Works for windows, lenses, screens, bottles, or any transparent surface.

Args: material_name: Name of the glass material. transmission: Transmission weight (0-1). 0.95 = fully glass-like. ior: Index of refraction. 1.52 = standard glass. roughness: Surface roughness. 0.0 = perfect mirror.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
iorNo
roughnessNo
transmissionNo
material_nameNoglass

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior, but it does not state whether this tool creates a new material, modifies an existing one, assigns it to an object, or overwrites settings. It mentions EEVEE specificity and parameter effects, but key side effects are omitted for what is clearly a mutating operation.

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 compact and well-organized: purpose first, then use cases, then a clean argument list. Every sentence earns its place, and the parameter notes are directly useful given the empty schema descriptions.

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 configuration tool with no annotations and no output schema, the description covers purpose, use cases, and parameters well. However, it is not fully complete for an agent deciding whether to call this tool or what side effects to expect; missing details like whether the material must pre-exist or whether it is assigned to selected objects leave meaningful gaps.

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 description coverage is 0%, so the description must compensate, and it does: all four parameters are explained with meaningful guidance, including recommended values like '0.95 = fully glass-like' and '1.52 = standard glass.' The only minor weakness is that 'material_name: Name of the glass material' is somewhat tautological and unclear about existing vs. new materials.

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 job: 'Configure glass/transparent material for EEVEE.' This is a specific verb, resource, and renderer, and the examples (windows, lenses, screens) make the intent unambiguous. It does not explicitly contrast with sibling tools like set_material_property or create_material, but the glass/EEVEE focus is enough to distinguish it.

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 phrase 'Works for windows, lenses, screens, bottles, or any transparent surface' gives clear usage context and implies when this tool is appropriate. However, it does not explicitly mention when not to use it or name alternatives such as set_material_property or create_procedural_material, leaving the selection decision somewhat inferential.

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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