This record as markdown: /tools/jjpxdev-unreal-mcp/list-presets.md
What list_presets does on Unreal
AI agents call list_presets to retrieve information from Unreal without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_presets is rated Low
This tool performs a simple enumeration/listing operation on Remote Control Presets, which is a read-only data retrieval operation. There are no side effects, no code execution, no data modification, and no destructive actions. The blast radius of misuse is minimal—an agent could only discover what presets exist in the project.
From the tool's definition Tool name 'list_presets' and description 'List all Remote Control Presets in the project' indicate a query operation that retrieves information without modifying or executing anything.
Attacks that exploit this kind of access
The rule that runs list_presets safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Unreal, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_presets, this is the rule to start with:
list_presets is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Unreal, apply this rule, and every list_presets call is checked against it from then on.
Questions about list_presets
List all Remote Control Presets in the project. It is categorised as a Read tool in the Unreal MCP Server, which means it retrieves data without modifying state.
Register the Unreal MCP server in PolicyLayer and add a rule for list_presets: 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. Nothing to install.
list_presets is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_presets 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 list_presets. 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.
list_presets is provided by the Unreal MCP server (@jjpxdev/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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