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SekaiNoOwari77

mcp-3d-modeling-agent

blender_sculpt_remesh_voxel

Apply voxel remesh to create uniform quad topology. Cleans boolean results and imported meshes, preparing models for sculpting. Smaller voxel size adds detail.

Instructions

Apply voxel remesh to create a uniform topology. Converts the mesh to a voxel representation and back, producing evenly-spaced quads. Useful for cleaning up boolean results, imported meshes, or preparing for sculpting. Smaller voxel_size = higher detail but more polygons.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
smoothNoApply smoothing after remesh (default: false)
fix_polesNoAttempt to fix topology poles after remesh (default: false)
voxel_sizeNoSize of voxels in world units - smaller = more detail (default: 0.05)
object_nameYesName of the mesh object to remesh

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.4.0

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully reveals the voxel round-trip mechanism and flags the resource cost of small voxel_size ('more polygons'). But it omits that a remesh rebuilds topology from scratch, typically destroying UV maps, shape keys, and vertex groups, and never states whether the object is modified in place.

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?

Four sentences, each earning its place: purpose, mechanism, use cases, and the key parameter tradeoff. The core verb-object statement is front-loaded, and there is no filler or repetition of schema content.

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?

Covers what, why, when, and the main parameter knob, which is adequate for a simple tool. However, for a destructive mesh operation with zero annotations, it should disclose side effects (loss of UVs/attributes), in-place vs. new-object behavior, and how it differs from blender_ai_mesh_remesh. These gaps are material for agent decision-making.

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 coverage is 100%, so the baseline is 3. The description adds marginal value for voxel_size by restating the detail tradeoff and adding the polygon-count consequence, but smooth and fix_poles receive no context beyond their schema descriptions.

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-resource pair ('Apply voxel remesh to create a uniform topology'), explains the mechanism ('Converts the mesh to a voxel representation and back'), and the outcome ('evenly-spaced quads'). The voxel method is clearly named, which distinguishes it from the similarly-purposed sibling blender_ai_mesh_remesh.

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?

Explicitly names three appropriate contexts: cleaning up boolean results, imported meshes, and preparing for sculpting. However, it never names alternatives or states when not to use it, particularly versus the AI-based remesh sibling, so it falls short of full exclusion guidance.

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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