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NAJEMWEHBE

unreal-ai-connection

pie_control

Control Play-In-Editor sessions: start with play or simulate mode, stop a running session, or query its state.

Instructions

Start / stop / query Play-In-Editor sessions. Closes the 'did my edit actually work?' loop — LLM can scaffold a gameplay change, trigger PIE, observe the running state, then stop. action=start with mode=play|simulate; action=stop tears down current session; action=query returns is_playing + is_simulating booleans.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesOne of: start, stop, query.
modeNoOnly used when action=start. 'play' (default) launches a full PIE session in the active viewport; 'simulate' ticks the world without spawning a Player Controller.
Behavior4/5

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

No annotations are provided, but the description details the actions: start with mode options, stop tears down, query returns booleans. This sufficiently discloses behavior beyond the schema.

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 three sentences, front-loaded with the purpose, then provides details. Every sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the low complexity (2 parameters, no output schema), the description covers all necessary information: actions, modes, and return values for query.

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?

Schema coverage is 100% with descriptions for both parameters. The description adds value by explaining the effects of each action and the mode options, enhancing understanding beyond the schema.

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 states 'Start / stop / query Play-In-Editor sessions,' specifying the verb and resource. It distinguishes itself from siblings as the only tool managing PIE sessions.

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 provides context for use: it 'closes the loop' after editing gameplay, allowing the LLM to scaffold changes, trigger PIE, observe, and stop. It does not explicitly state when not to use it, but gives clear usage context.

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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