This record as markdown: /tools/quangdang46-uefn-verse-mcp/save-asset.md
What save_asset does on Uefn
AI agents use save_asset to create or update resources in Uefn, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Uefn environment.
Why save_asset is rated Medium
The tool creates or modifies data in a reversible manner—saving an asset is a standard write operation. It does not execute arbitrary code, delete data irreversibly, or move money.
From the tool's definition Tool is named 'save_asset' and described as 'Save a modified asset.' This performs a write operation that modifies persistent state (asset storage) in the Unreal Editor for Fortnite.
Attacks that exploit this kind of access
The rule that runs save_asset safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Uefn, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For save_asset, this is the rule to start with:
save_asset 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 Uefn, apply this rule, and every save_asset call is checked against it from then on.
Questions about save_asset
Save a modified asset. It is categorised as a Write tool in the Uefn MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Uefn MCP server in PolicyLayer and add a rule for save_asset: 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 Uefn. Nothing to install.
save_asset 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_asset 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_asset. 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_asset is provided by the Uefn MCP server (quangdang46/uefn-verse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Uefn, and thousands of servers like it.
This server
Across the catalogue