This record as markdown: /tools/aadeshrao123-unreal-mcp/save-all.md
What save_all does on Unreal-MCP
AI agents use save_all to create or update resources in Unreal-MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Unreal-MCP environment.
Why save_all is rated Medium
Saving assets is a reversible write operation that persists changes to editor state. While not destructive (changes can be undone via version control or editor undo), it modifies the project state and locks in recent edits.
From the tool's definition Tool name 'save_all' and description 'Save all unsaved (dirty) assets' indicates the tool commits modified data (assets) to persistent storage in Unreal Engine 5.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs save_all safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Unreal-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For save_all, this is the rule to start with:
save_all stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Unreal-MCP, apply this rule, and every save_all call is checked against it from then on.
Questions about save_all
Save all unsaved (dirty) assets. It is categorised as a Write tool in the Unreal-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Unreal MCP server in PolicyLayer and add a rule for save_all: 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-MCP. Nothing to install.
save_all is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the save_all 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 save_all. 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.
save_all is provided by the Unreal MCP server (aadeshrao123/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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