Skip to main content
Glama

autonomous_create_game

Generate complete RPG Maker MZ games from concept descriptions by automatically handling project setup, story generation, battle systems, quests, assets, and optimization for rapid prototyping.

Instructions

Autonomously create a complete RPG game from a concept. This tool orchestrates all game creation steps: project setup, scenario generation, battle system, quests, assets, balancing, and optimization. Perfect for rapid game prototyping with minimal input.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoGemini API key (optional, uses GEMINI_API_KEY env var if not provided)
asset_countNoAsset generation counts
conceptYesGame concept/theme (e.g., 'fantasy adventure with dragons', 'cyberpunk detective story', 'space opera epic')
difficultyNoGame difficulty level
game_titleNoGame title (auto-generated from concept if not provided)
generate_assetsNoWhether to generate game assets using AI (default: true)
lengthNoGame length - short: 1-2hrs, medium: 3-5hrs, long: 8-12hrs
optimizeNoWhether to optimize the project after creation (default: true)
project_pathYesPath where the game project will be created
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While it mentions the tool 'orchestrates all game creation steps' and is for 'rapid prototyping,' it lacks critical details: what permissions or resources are required, whether it modifies existing projects, how long the process takes, error handling, or what the output looks like. For a complex, multi-step creation tool with zero annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized with two sentences: the first states the purpose and steps, and the second provides usage context. It's front-loaded with key information and avoids redundancy, though the list of steps ('project setup, scenario generation...') could be slightly condensed for efficiency.

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

Completeness3/5

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

Given the tool's high complexity (9 parameters, nested objects, no output schema) and lack of annotations, the description is minimally adequate. It covers the purpose and high-level process but misses behavioral details like output format, error conditions, or system requirements. Without annotations or output schema, more context on what the tool returns or its operational constraints would improve completeness.

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?

Schema description coverage is 100%, so the schema already documents all 9 parameters thoroughly. The description adds no specific parameter information beyond implying the 'concept' input drives the creation. It doesn't explain parameter interactions, defaults beyond what's in the schema, or how choices affect outcomes, so it meets the baseline for high schema coverage without adding extra value.

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 the tool's purpose with specific verbs ('autonomously create', 'orchestrates') and resources ('complete RPG game from a concept'), listing concrete steps like project setup, scenario generation, battle system, quests, assets, balancing, and optimization. It effectively distinguishes this comprehensive game creation tool from sibling tools that handle individual components like add_actor, create_map, or generate_scenario.

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 clear context for when to use this tool ('perfect for rapid game prototyping with minimal input'), implying it's for end-to-end creation rather than piecemeal development. However, it doesn't explicitly state when NOT to use it or name specific alternatives among the sibling tools, such as using create_project for basic setup or generate_scenario for just narrative elements.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ShunsukeHayashi/rpgmaker-mz-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server