content_audit
Run content audit to find costly or problematic assets (runs ContentAudit commandlet).
This record as markdown: /tools/jjpxdev-unreal-mcp/content-audit.md
What content_audit does on Unreal
AI agents invoke content_audit 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 content_audit is rated High
This tool triggers execution of Unreal Engine's ContentAudit commandlet, which performs automated analysis across the project's asset database. While not destructive or modifying in itself, it executes a system operation whose effects (resource consumption, timing, computational load) depend on project size and asset complexity.
From the tool's definition Tool runs the ContentAudit commandlet, which is an external executable operation that scans and analyzes assets in Unreal Engine. The description explicitly states it 'runs' a commandlet, indicating execution of a built-in but non-trivial operation.
Attacks that exploit this kind of access
The rule that runs content_audit 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 content_audit, this is the rule to start with:
content_audit 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 content_audit call is checked against it from then on.
Questions about content_audit
Run content audit to find costly or problematic assets (runs ContentAudit commandlet). 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 content_audit: 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.
content_audit 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 content_audit 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 content_audit. 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.
content_audit 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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