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thrixel

Thrixel MCP Server

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by thrixel

Sculpt a 3D model

thrixel_sculpt_model

Create a dense organic 3D model from a text prompt or reference image. Produces a single high-density textured mesh with a rendered thumbnail.

Instructions

Create a dense, organic 3D model from a text description and/or a single reference image. Costs 40 cubes.

Use this for creatures, characters, plants, rocks, food, cloth - anything sculpted rather than assembled - and whenever you are starting from a photo. The output is ONE high-density textured mesh, not separate parts, so it is less editable than thrixel_create_model. For man-made objects with distinct components, use that instead.

Waits for the job to finish, saves the GLB, and returns the file path plus a rendered thumbnail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
destNo
waitNo
imageNo
promptNo
project_idNo
texture_sizeNo
decimation_targetNo
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses cost (40 cubes), wait behavior, output format (GLB file path and thumbnail), and notes lower editability. Lacks details on permission or reversibility but covers key behaviors.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three concise paragraphs with front-loaded purpose. Minor redundancy (e.g., 'dense, organic' and 'sculpted rather than assembled') but overall efficient.

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?

While the description provides a good overview, it omits explanations for 7 parameters with zero schema coverage. No output schema exists, so return value details are minimal. More guidance on optional parameters like texture_size would improve completeness.

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%. Description only loosely explains 'prompt' and 'image' via 'text description and/or a single reference image'. Other parameters (dest, wait, project_id, texture_size, decimation_target) are not mentioned.

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?

Description clearly states it creates a dense, organic 3D model from text and/or image. It differentiates from sibling thrixel_create_model by noting the output is a single high-density mesh rather than separate parts.

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 recommends for creatures, characters, plants, rocks, food, cloth, and when starting from a photo. It also explicitly advises using thrixel_create_model for man-made objects with distinct components.

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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