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Cmmdx256

Universal Roblox AI Studio

by Cmmdx256

generate_procedural_model

Build a Roblox 3D model from a text description. Automatically assembles a procedural model and places it at a given position.

Instructions

Official Roblox Generative AI: Generates a procedural model assembly using official Roblox MCP generator.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesDescription of the procedural model to assemble
categoryNoCategory e.g. building, vehicle, prop, nature
positionNoPlacement position [x, y, z]
Install Server

TDQS

C2.9/5.0
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 of behavioral disclosure. It only restates that the tool generates a model assembly and emphasizes its official origin. It does not mention side effects, scene placement, whether position/category are applied, or any destructive behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single efficient sentence that front-loads the action and target resource. There is minor redundancy with 'Official Roblox' stated twice, but no unnecessary content or verbose structure. It is appropriately short for the tool's simple interface.

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?

The schema documents all three parameters, which covers the basics of invocation. However, with no output schema and no annotations, the agent is left guessing about return values, scene behavior, and failure semantics. This is minimally viable for a straightforward generation call but not fully complete.

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 prompt, category, and position are already documented in the input schema. The description adds no extra meaning about how to phrase the prompt or how category/position affect the generated assembly. Baseline 3 applies because the schema carries the parameter documentation burden.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description uses specific verb 'Generates' and resource 'procedural model assembly,' which clearly states the core function. Among siblings like generate_mesh and generate_material, the phrase 'procedural model assembly' provides reasonable differentiation. Some redundancy from 'Official Roblox' appears twice, but it does not obscure meaning.

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 for when to use this tool over siblings such as generate_mesh, generate_material, component_compose, or world_build. There are no exclusions, preconditions, or alternative routing hints. The agent must infer usage from the tool name 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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