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navmesh_recast_baking_validator

Validates Recast navigation meshes by checking slope limits, step clearance, and unreachable islands to ensure agent pathfinding reliability.

Instructions

Generates and audits Recast 3D navigation meshes for autonomous agents, checking maximum slope climbing, step-height clearance, and unreachable islands. (0.040 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

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full transparency burden. It does disclose the 0.040 USDC Base L2 payment requirement, which is a critical behavioral fact an agent needs before invoking a paid tool. However, it does not describe output shape, data persistence, side effects, or what happens on failure, leaving much of the behavioral profile to inference.

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?

Two sentences with zero filler: the first front-loads the verb and resource plus the specific checks, and the second conveys the required payment cost. The price parenthetical earns its place because an agent must know affordability before choosing to spend USDC on the call.

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?

For a paid tool with no output schema and a free-form payload, the description should clarify both expected inputs and return values. It weakly hints at outputs via 'generates' (mesh) and 'audits' (report) but leaves payload structure and response format to inference—a meaningful gap when the agent is spending 0.04 USDC.

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 some meaning by naming the three audit dimensions, which hints at what the payload governs, but it never explains what the free-form 'payload' string must contain (geometry, agent radius, slope angles) or how criteria map to inputs. It does not compensate for the opaque payload structure.

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 names a specific verb-resource pair ('Generates and audits Recast 3D navigation meshes') and enumerates concrete audit criteria (maximum slope climbing, step-height clearance, unreachable islands). Recast is a specific navmesh-baking library, which cleanly distinguishes this tool from mesh siblings like optimize_3d_mesh and 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?

The navmesh-specific vocabulary implies when the tool is applicable, but the description never states when to prefer it over related mesh tools or when not to use it. No alternatives or exclusions are mentioned, so the agent must infer applicability from the specialized domain alone.

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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