AI agents invoke build_cook_run to trigger actions in Unreal. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers a complete build-cook-run pipeline in Unreal Engine, which compiles code, processes assets, stages files, packages the project, and can deploy/run the result. While not destructive (data remains intact), it executes external operations whose effects depend on configuration arguments and can modify the local filesystem and potentially remote systems if deployment is triggered.
From the tool's definition Tool performs 'Full BuildCookRun pipeline — build, cook, stage, package, and optionally deploy/run' which executes a complex multi-stage compilation and deployment process with external effects.
Attacks that exploit this kind of access
Full BuildCookRun pipeline — build, cook, stage, package, and optionally deploy/run. This is the primary command for packaging a project. It is categorised as a Execute tool in the Unreal MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Unreal MCP server in PolicyLayer and add a rule for build_cook_run: 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.
build_cook_run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the build_cook_run 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 build_cook_run. 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.
build_cook_run 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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