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voxelize_mesh_grid_generator

Converts watertight 3D triangle meshes into 3D binary occupancy or RGBA colored voxel grids with adjustable grid dimensions. Enables spatial analysis and robot path planning from mesh geometry.

Instructions

Converts watertight 3D triangle meshes into 3D binary occupancy or RGBA colored voxel grids with configurable bounding grid dimensions. (0.035 USDC on Base L2)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesInput parameters or JSON string payload for the tool execution
paymentSignatureNoBase L2 USDC micropayment signature or transaction hash for x402 settlement

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It does add real detail: input must be watertight, output can be binary or RGBA, and grid dimensions are configurable. But it omits output format, error behavior, and any side-effect or authorization context.

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?

A single dense sentence with no filler. The input condition, output variants, configurability, and cost are all included efficiently, and the price is useful operational context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given an opaque JSON string payload and no output schema, the description should explain how to construct the payload and what the return value looks like. It conveys high-level intent but lacks input serialization details, grid dimension syntax, output encoding, and failure behavior.

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

Parameters4/5

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

The schema only describes payload as a generic 'JSON string payload', so the description adds crucial meaning: payload should describe a watertight triangle mesh and desired voxel grid settings. It also adds payment context for paymentSignature. Still, it does not enumerate exact payload keys or allowed values.

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 ('Converts watertight 3D triangle meshes'), the output forms ('binary occupancy or RGBA colored voxel grids'), and a key configuration dimension ('configurable bounding grid dimensions'). This clearly differentiates it from sibling mesh tools like optimize_3d_mesh or mesh_watertight_manifold_auditor.

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: use this when you need to voxelize a watertight triangle mesh. However, it does not explicitly state when to prefer this over alternatives, nor does it list exclusions or prerequisites like requiring manifold input or a valid payment.

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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