Distribute selected actors evenly along an axis.
AI agents use bulk_distribute 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.
This tool repositions/modifies the spatial placement of selected actors in the UEFN editor by redistributing them along an axis. This is a reversible modification of actor properties (position/transform), making it a Write operation. Misuse could unintentionally reorganize scene layout, but effects are generally reversible via undo.
From the tool's definition Distribute selected actors evenly along an axis
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access bulk_distribute gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Uefn, and nothing reaches the server without passing your rules. This is the rule we recommend for bulk_distribute:
{
"version": "1",
"default": "deny",
"tools": {
"bulk_distribute": {
"limits": [
{
"counter": "bulk_distribute_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}bulk_distribute 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.
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Distribute selected actors evenly along an axis. 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 bulk_distribute: 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.
bulk_distribute 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 bulk_distribute 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 bulk_distribute. 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.
bulk_distribute 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.
Start from Uefn, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
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