AI agents call list_assets to retrieve information from Unreal without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves asset metadata from a content directory with optional filtering. It performs no modifications, deletions, or side effects—purely informational retrieval. Typical blast radius is minimal as it only surfaces existing data.
From the tool's definition Tool name 'list_assets' and description 'List assets in a content directory with optional class filter' indicate retrieval of asset information without modification.
Attacks that exploit this kind of access
List assets in a content directory with optional class filter. 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_assets: 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_assets 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_assets 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_assets. 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_assets is provided by the Unreal MCP server (sam-david/unreal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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