Medium Risk

redo

Redo the last undone editor action.

How to control redo ↓

What redo does on Uefn

AI agents use redo 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.

Medium Risk

Why redo needs a policy

Redo re-applies a previously undone modification to the editor state, which is a write/modify operation. It is reversible (can be undone again), so it doesn't qualify as Destructive. The blast radius is medium since it could reapply arbitrary editor changes depending on what was undone.

From the tool's definition Redo the last undone editor action

Documented attack patterns abuse exactly the kind of access redo gives an agent:

How to control redo

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 redo:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "redo": {
      "limits": [
        {
          "counter": "redo_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

redo 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.

  1. Create a free account and register Uefn — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about redo

What does the redo tool do? +

Redo the last undone editor action. 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.

How do I enforce a policy on redo? +

Register the Uefn MCP server in PolicyLayer and add a rule for redo: 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.

What risk level is redo? +

redo is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit redo? +

Yes. Add a rate_limit block to the redo 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.

How do I block redo completely? +

Set action: deny in the PolicyLayer policy for redo. 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.

What MCP server provides redo? +

redo 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.

Enforce policy on every Uefn tool call.

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.

143 Uefn tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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