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signed_distance_field_sdf_baker

Generate 3D signed distance fields from geometric primitives and CSG smooth booleans for accurate spatial modeling and collision queries.

Instructions

Evaluates 3D Signed Distance Fields (SDF) across geometric primitives (spheres, boxes, tori) and executes constructive solid geometry (CSG) smooth booleans. (0.030 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

B3.2/5.0
Behavior2/5

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

There are no annotations, so the description carries the full behavioral burden. It mentions the cost ('0.030 USDC on Base L2') but does not disclose whether execution is read-only, what side effects occur, whether payment is strictly required, or what the output/return behavior looks like. For a computational tool this is a meaningful omission.

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?

The description is one efficient sentence with the core purpose front-loaded. The price note is compact and appended without bloating the main statement. No redundant words or schema repetition.

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?

The tool is complex, has no output schema, and uses a generic string payload, yet the description does not explain payload shape, expected return values, or invocation prerequisites. The cost hint and primitive list are useful, but they are not enough for an agent to confidently call this tool correctly.

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 baseline is 3. The description adds domain context by naming primitives and CSG operations, but it does not explain the actual payload structure or how parameters map to execution, leaving the agent to guess at exact input formatting.

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?

The description clearly states a specific action ('Evaluates... executes...') on a specific resource (Signed Distance Fields and CSG smooth booleans). It names concrete geometric primitives (spheres, boxes, tori), which differentiates it from siblings like mesh_boolean_csg_exact and sdf_mesh_marching_cubes_extractor.

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

Usage Guidelines2/5

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

No guidance is given about when to use this tool versus alternatives, nor any mention of when not to use it. With many closely related 3D-geometry siblings in the list, the absence of usage context is a notable gap.

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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