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thrixel

Thrixel MCP Server

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by thrixel

Create a 3D model

thrixel_create_model

Create a 3D model from a text description, outputting an editable multi-part mesh as a GLB file with a thumbnail preview for game props, vehicles, buildings, or furniture.

Instructions

Create a 3D model from a text description, optionally guided by reference images. This is the default way to make a game prop, vehicle, building, weapon or piece of furniture.

Output is a rough but EDITABLE multi-part mesh: parts are separate, named nodes, so you can later retexture or transform individual pieces. Prefer this over thrixel_sculpt_model whenever the subject is man-made or made of distinct components.

Waits for the job to finish, saves the GLB, and returns the file path plus a rendered thumbnail. Look at the thumbnail before building on the result.

Describe the object itself, not the request: 'a weathered wooden market stall with a striped awning' works, 'make me a stall' does not.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
destNo
waitNo
imagesNo
promptYes
project_idNo
style_reference_submission_idNo
Behavior5/5

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

No annotations provided, so description fully covers behavioral traits: output is rough but editable multi-part mesh with separate named nodes. Waits for job, saves GLB, returns file path and thumbnail. Advises checking thumbnail before building.

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 concise paragraphs with front-loaded action, then output details, then usage tip. Every sentence adds unique value; no wasted words.

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?

Provides enough context for primary use case: explains output format, workflow, and prompt style. Lacks detail on optional parameters like dest and wait, but defaults are reasonable. Overall sufficient for agent to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, requiring description to compensate. Only covers prompt (with usage advice) and images (reference images). Does not explain dest, wait, project_id, or style_reference_submission_id. Missing information on 4 of 6 parameters.

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?

Clearly states it creates a 3D model from text description, optionally with reference images. Specifies it's for man-made objects like game props, vehicles, etc. Distinguishes from sibling thrixel_sculpt_model.

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

Usage Guidelines5/5

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

Explicitly says when to use (default for man-made, distinct components) and when to prefer thrixel_sculpt_model. Provides prompt advice: describe object itself, not the request.

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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