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obj_mtl_to_glb_packer

Convert Wavefront OBJ geometry, MTL materials, and associated textures into a single self-contained GLB file. Use this tool to package legacy 3D assets into a portable binary format.

Instructions

Compiles legacy Wavefront OBJ geometry, MTL material declarations, and associated texture maps into a single binary self-contained GLB file. (0.025 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

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does disclose the 0.025 USDC fee, which is a meaningful behavioral trait. However, it does not mention whether the operation is read-only, any file size limits, data persistence, or how inputs are handled. The cost disclosure is useful but incomplete.

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 a single, specific sentence that front-loads the core action and resources, followed by a parenthetical cost note. Every word contributes: 'compiles', 'legacy Wavefront OBJ', 'MTL material', 'texture maps', 'single binary self-contained GLB'. No fluff or redundancy.

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 (converting multiple formats into GLB) but the description leaves out critical details: how to supply the OBJ/MTL/textures in the payload (e.g., base64, URLs, zip), how the result is returned (file, bytes, URL), and whether paymentSignature is required given the cost mention (it is not in the required array). Without output schema, these gaps are significant.

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% but the payload description is generic ('Input parameters or JSON string payload'). The tool description adds context that the payload should contain the OBJ, MTL, and texture maps, which goes beyond the schema. It does not specify the exact formatting of these inputs, but it does clarify the intended use of the payload.

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 uses a specific verb ('compiles') and clearly states the resources (OBJ geometry, MTL material declarations, and associated texture maps) and the output (a single binary self-contained GLB file). This distinguishes it from siblings like convert_gltf_to_obj, which does the reverse, and validate_gltf_structure, which only validates.

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 purpose is explicit enough that an agent can infer when to use this tool (when it has OBJ/MTL and needs GLB), but there is no explicit statement of when to use it versus alternatives, nor any exclusions. The 'compiles' verb implies usage context, but no direct guidance is given.

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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