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Cmmdx256

Universal Roblox AI Studio

by Cmmdx256

playtest_run_scenario

Run automated gameplay test scenarios with simulated inputs, analyze console output for errors, and capture screenshots to identify issues in your Roblox game.

Instructions

Automated Playtest Runner: Executes multi-step gameplay testing scenario with input simulation, console output analysis, and screenshot capture.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
stepsYes
Install Server

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral transparency burden. It does disclose meaningful execution behavior: input simulation, console output analysis, and screenshot capture. However, it does not clarify side effects, blocking behavior, workspace/studio setup requirements, or what happens to the playtest session afterward.

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 efficient sentence with no filler. The lead phrase 'Automated Playtest Runner' immediately frames the tool, and the rest lists distinct behaviors without 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 executes a scenario and has no output schema, but the description does not explain what the tool returns, how console analysis or screenshots are delivered, or what 'steps' must contain. For an execution tool with minimal schema and no output schema, this leaves important operational details missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the undocumented parameters. It refers to 'multi-step' and 'scenario', which loosely relate to 'steps', but it does not explain the meaning of 'name' or the structure and allowed contents of the 'steps' array. This is insufficient for an agent to construct a correct invocation.

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 states a clear verb ('Executes') and a specific resource ('multi-step gameplay testing scenario'), then adds three concrete behaviors: input simulation, console output analysis, and screenshot capture. It is clear about what the tool does, though it does not explicitly differentiate itself from sibling tools like playtest_control or start_stop_play.

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?

The description provides no guidance on when to choose this tool over alternatives. Sibling tools such as playtest_control, start_stop_play, and user_keyboard_input exist, but the description does not mention conditions for use, exclusions, or complementary tools.

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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