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Recolor Low-Poly Model

recolor_lowpoly_model

Recolor a Low-Poly model's textures with the image color tools and save the result as a new version (returns the model). Color Reducer and Palette Converter cost $0.001; Color Style Transfer costs $0.01. Later revisions and animations keep the new colors.

Input Schema

NameRequiredDescriptionDefault
toolYescolor_reducer (limit the colors), palette_converter (convert to a palette image) or color_style_transfer (take a reference image's color style).
versionNoVersion number to work on (default: the newest). Revisions create versions; animations do not.
asset_idYesasset_id returned by start_lowpoly_generate or get_lowpoly_job.
rd_api_keyNoRetroDiffusion API key (rdpk-...) for this call only; overrides session or header auth.
color_countNocolor_reducer: how many colors, 2-256 (omit for automatic).
dither_modeNonone | bayer_2x2 | bayer_4x4 | bayer_8x8 (color_reducer, palette_converter).
palette_imageNoBase64 image of a color palette; output colors are constrained to it.
dither_strengthNoDithering strength, 0-10 (default 5).
reference_imageNocolor_style_transfer: base64 reference image.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already indicate it is a non-read-only, non-destructive, non-idempotent operation. The description usefully adds cost differences per tool and notes that later revisions and animations retain the new colors, which is valuable behavioral context beyond the annotations.

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 tightly packed sentences with the core action front-loaded. Cost and persistence details are useful, though the parenthetical return note is slightly awkward.

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?

For a tool with full schema coverage, annotations, and an output schema, the description provides enough context to call it correctly, including cost and persistence semantics. It could do slightly more to route agents away from related revision/edit tools.

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%, so the schema already documents all parameters thoroughly. The description adds cost context but does not explain parameter interactions or defaults beyond what the schema provides; baseline 3 is appropriate.

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?

States a specific verb and resource: recolor a Low-Poly model's textures and save as a new version. It clearly distinguishes the action from generation, revision, animation, and export siblings, though it does not explicitly name alternatives.

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?

Usage is implied by the action and by mentioning the supported image color tools, but it does not say when to choose this over related tools such as run_edit_tool or start_lowpoly_revise. No explicit when-not guidance is provided.

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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