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ue_project_create

Creates a new Unreal Engine project preconfigured for the MCP server, enabling AI agents to control the engine via natural language. Includes required plugins and remote control setup.

Instructions

Crea un progetto Unreal da specifica, pronto per il bridge MCP.

Scrive .uproject (con PythonScriptPlugin, RemoteControl e Metasound già abilitati), Config/DefaultEngine.ini con l'autostart del web server Remote Control, Config/DefaultGame.ini e Content/Python/init_unreal.py.

Args: name: nome progetto (identificatore valido, es. "MyGame"). directory: cartella genitore, es. "C:/UnrealProjects". engine_version: es. "5.4"; se omesso usa la più recente installata. template: "blank" (generato da zero) o il nome di un template del motore (vedi ue_engine_templates), es. "TP_ThirdPerson". blueprint_only: esclude la cartella Source del template (niente compilazione C++). plugins: plugin extra da abilitare oltre a quelli di default. default_map: mappa di avvio, es. "/Game/MyGame/Levels/L_Main". default_game_mode: GameMode di default (path della classe ..._C). force: procede anche se la cartella di destinazione esiste già. engine_root: percorso del motore, quando la ricerca automatica non lo trova (es. "C:/Program Files/Epic Games/UE_5.8").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
forceNo
pluginsNo
templateNoblank
directoryYes
default_mapNo
descriptionNo
engine_rootNo
blueprint_onlyNo
engine_versionNo
default_game_modeNo
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses many behaviors: writing multiple files, enabling specific plugins, autostart server, force overwrite, default engine version handling, and blueprint-only exclusion. However, it does not mention error handling or prerequisites.

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 concise and well-structured: a single-sentence purpose, a paragraph listing created files, then a bulleted list of parameters. Every sentence adds value, and it is front-loaded with the key action.

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

Completeness4/5

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

Given 11 parameters and no output schema, the description covers the purpose, created files, and all parameters. It lacks details on return values and potential errors, but it is mostly complete.

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

Parameters5/5

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. It provides detailed explanations for all 11 parameters, adding meaning beyond the schema (e.g., valid name format, parent directory, engine lookup behavior).

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 it creates an Unreal project from specification, listing the files it writes. It distinguishes itself from sibling tools like ue_project_find, ue_project_info, etc., by being the creation tool.

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 implies usage for creating a new project but does not explicitly state when to use it over alternatives or when not to use it. The parameter explanations give context, but no exclusions or alternatives are mentioned.

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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