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Glama

import_asset

Download an asset found with asset search and import it scene-ready in Blender: models are cleaned, real-size, grounded, credited; textures become PBR materials; HDRIs light the world.

Instructions

Download an asset found with search_assets and bring it in scene-ready. Models: cleaned, real size, grounded, credited. Textures: a PBR material box-projected at the texture's real-world size (no UVs needed). HDRIs: world lighting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesAsset id from search_assets.
nameNo
facesNotextures: only these faces of apply_to.
fit_toNoFit to and stand in for this object (e.g. a blockout).
sourceYes
previewNo
replaceNo
apply_toNotextures: objects to receive the material.
locationNoWorld position [x,y,z] (metres) of the object origin.
place_onNo
rotationNo
strengthNohdris: world strength.
max_facesNo
asset_typeNopolyhaven: required.
backgroundNohdris: colour the camera sees instead of the HDRI.
dimensionsNo
resolutionNopolyhaven: 1k, 2k, 4k, 8k (1-2k for background, 4k close-ups).1k
file_formatNo
target_sizeNoLargest dimension in metres (needed for sketchfab/polypizza - their scale is arbitrary). Poly Haven models are already real size.
hdri_rotationNohdris: rotate the environment (degrees).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A4.1/5.0
Behavior4/5

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

No annotations exist, so the description carries the full burden, and it discloses real post-processing behavior per mode: models are cleaned, real-sized, grounded and credited; textures become box-projected PBR materials; HDRIs drive world lighting. It stops short of safety/mutation details - it never says what 'replace' or 'preview' do to existing scene objects, nor any download/network constraints.

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?

Three dense sentences, front-loaded with the core action and then a terse per-type breakdown. No filler; every clause conveys distinct behavior.

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 20-parameter mutation tool with no annotations and no output schema, the mode coverage is good but the parameter interplay and the effect on the existing scene are not explained. It is adequate as a conceptual overview but incomplete as invocation guidance.

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?

With 20 parameters and only 55% schema coverage, the description adds conceptual context that helps interpret the type-specific clusters (strength/background/hdri_rotation for HDRIs, apply_to/faces for textures). It still names no parameters directly and leaves many of the 20 (name, preview, replace, place_on, rotation, max_faces, etc.) undocumented in both schema and prose.

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 and resource ('Download an asset ... and bring it in scene-ready') and names the sibling it follows from ('found with search_assets'). It also breaks the outcome down by asset type (models/textures/HDRIs), so an agent knows exactly what this tool produces without opening the schema.

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 prerequisite workflow is embedded explicitly: find with search_assets, then import here. However, no exclusions or alternatives are given for the nearby sibling import_model_file, so the agent must infer the boundary between importing an online asset and a local model file.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.