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Unreal-MCP

Unreal-MCP

by aadeshrao123
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create_statetree

Create a StateTree asset with a specified schema and content path. Use this tool to generate behavior trees for AI characters in Unreal Engine.

Instructions

Create a new StateTree asset with the specified schema.

Args: asset_path: Content path for the new asset (e.g. "/Game/AI/ST_MyTree") schema_class: Schema class name (e.g. "MassStateTreeSchema", "StateTreeComponentSchema", "StateTreeAIComponentSchema")

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "asset_path": "<asset_path>",
      "schema_class": "<schema_class>"
    },
    "name": "create_statetree"
  }
}

Input Schema

NameRequiredDescriptionDefault
asset_pathYes
schema_classYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.1

TDQS

A3.9/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the behavioral disclosure. It describes the creation action but omits details like error handling on duplicate paths, permission requirements, or schema validation behavior.

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 extremely concise, using only two sentences and a bullet list. Every part adds value without redundancy or extra fluff.

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 the presence of an output schema, return value details are not required. However, the description lacks information about prerequisites, file overwrite behavior, or error conditions – which would improve completeness for a creation tool.

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 coverage is 0%, meaning the description provides the only meaningful documentation. It adds definitions and examples for both parameters, making them actionable beyond the raw 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 'Create a new StateTree asset', specifying the verb and resource. It distinguishes from siblings like add_statetree_state (which modifies existing) and other asset creation tools by targeting StateTree specifically.

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

Usage Guidelines3/5

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

The description provides examples for parameters but does not explicitly state when to use this tool versus alternatives (e.g., modifying an existing StateTree). Usage context is implied but not fully clarified.

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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