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Cmmdx256

Universal Roblox AI Studio

by Cmmdx256

scene_analyze

Analyze the current Roblox scene's geometry, parts count, physics performance, and lighting setup to identify optimization issues and diagnose scene health.

Instructions

[HIGH_LEVEL] Analyzes Workspace geometry, parts count, physics performance, and lighting configuration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

B3.1/5.0
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 does not state whether the tool is read-only, whether it modifies the scene, what kind of output it returns, or whether it requires an active studio/workspace. For an analysis tool, this is a meaningful gap.

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 sentence with no filler. It front-loads the action verb and then enumerates the analysis targets efficiently. Every word earns its place.

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?

For a tool with no output schema and no annotations, the description is too thin to be fully self-sufficient. An agent cannot tell what the tool returns, whether the analysis is read-only, or how it relates to sibling analysis tools like project_analyze and architecture_analyze.

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 tool has zero parameters and schema description coverage is 100%, so there are no parameter semantics to clarify. The description correctly lists analysis areas rather than trying to document nonexistent parameters, so the baseline of 4 applies.

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?

The description names a specific verb ('Analyzes') and a concrete resource ('Workspace geometry, parts count, physics performance, and lighting configuration'), which makes the tool's role fairly clear. It is broadly distinguishable from mutating siblings like scene_organize and scene_optimize, though it could be confused with project_analyze or architecture_analyze without more explicit differentiation.

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?

There is no guidance on when to prefer scene_analyze over scene_organize, scene_optimize, project_analyze, or architecture_analyze. The '[HIGH_LEVEL]' tag implies a broad scan, but no explicit when-to-use or when-not-to-use conditions are 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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