This record as markdown: /tools/jjpxdev-unreal-mcp/run-map-check.md
What run_map_check does on Unreal
AI agents invoke run_map_check 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.
Why run_map_check is rated High
This tool executes a validation routine (Map Check) that performs analysis and reporting on the current level state. While Map Check itself is non-destructive and intended for diagnostics, it qualifies as Execute because it triggers an external operation whose behavior and side effects depend on the current level state.
From the tool's definition The tool is named 'run_map_check' and described as 'Run Map Check validation on the current level.' The verb 'run' indicates execution of a built-in validation process within Unreal Engine that analyzes the current level for errors and inconsistencies.
Attacks that exploit this kind of access
The rule that runs run_map_check 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 run_map_check, this is the rule to start with:
run_map_check stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. 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 run_map_check call is checked against it from then on.
Questions about run_map_check
Run Map Check validation on the current level. 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 run_map_check: 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.
run_map_check 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 run_map_check 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 run_map_check. 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.
run_map_check 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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