add_statetree_evaluator
A write tool on the Unreal- MCP server.
This record as markdown: /tools/aadeshrao123-unreal-mcp/add-statetree-evaluator.md
What add_statetree_evaluator does on Unreal-MCP
AI agents use add_statetree_evaluator to create or update resources in Unreal-MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Unreal-MCP environment.
Why add_statetree_evaluator is rated Medium
The tool performs a create/modify operation ('add_') on StateTree evaluators within the Unreal Editor. This is a Write action as it introduces new editor content that can be subsequently modified or removed. The empty description reduces confidence slightly, but the naming pattern and server context clearly indicate asset creation rather than deletion, execution, or data retrieval.
From the tool's definition Tool name 'add_statetree_evaluator' indicates adding/creating a component in Unreal Engine's StateTree system. The 'add_' prefix and context of 280 editor commands across blueprints, materials, and VFX suggest this creates or modifies editor assets reversibly.
Attacks that exploit this kind of access
The rule that runs add_statetree_evaluator safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Unreal-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For add_statetree_evaluator, this is the rule to start with:
add_statetree_evaluator stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Unreal-MCP, apply this rule, and every add_statetree_evaluator call is checked against it from then on.
Questions about add_statetree_evaluator
add_statetree_evaluator is a write tool on the Unreal MCP server. It is categorised as a Write tool in the Unreal-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Unreal MCP server in PolicyLayer and add a rule for add_statetree_evaluator: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Unreal-MCP. Nothing to install.
add_statetree_evaluator is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add_statetree_evaluator rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for add_statetree_evaluator. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
add_statetree_evaluator is provided by the Unreal MCP server (aadeshrao123/unreal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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