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Cmmdx256

Universal Roblox AI Studio

by Cmmdx256

game_create_from_spec

Converts a natural-language game specification into a complete, verified Roblox game, including architecture, systems, models, UI, and animations.

Instructions

Autonomous Game Creation Pipeline: Takes natural-language game specification, parses requirements, generates architecture/GDD/plans, creates all systems, models, UI, animations, and produces verified game.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specificationYesNatural language specification of the game to create
Install Server

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. It does signal that the tool is autonomous, broad-scoped, and mutating ('creates all systems, models, UI, animations'), which is important. However, it does not disclose whether existing content can be overwritten, whether the operation is reversible, or what prerequisites or limitations exist.

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?

One dense, front-loaded sentence with no filler. Every clause adds useful information about the pipeline, and the description remains scannable despite covering a complex tool.

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 high-complexity tool with no output schema and no annotations, the description is incomplete. It explains the high-level outcome ('produces verified game') but does not tell the agent what the invocation will actually return, how success is signaled, what side effects occur in the current workspace, or what happens on failure. Significant contextual information is missing.

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?

The single parameter is already fully described in the schema as 'Natural language specification of the game to create'. The description essentially repeats that same concept without adding format details, example length, constraints, or guidance on how detailed the specification should be. The high schema coverage makes baseline 3 appropriate.

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 identifies a specific, high-level action: converting a natural-language game specification into a complete, verified game. It enumerates the pipeline stages (requirements parsing, architecture/GDD/plans, systems, models, UI, animations) and thereby distinguishes itself from narrower feature-level siblings like game_build_feature.

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

Usage Guidelines4/5

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

The description gives clear context: use this tool when you have a natural-language game specification and want the full autonomous creation pipeline. It does not explicitly name alternatives or state when not to use it, but the intended high-level use case is unambiguous.

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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