undo
Undo the last editor action via the transaction system.
This record as markdown: /tools/quangdang46-uefn-verse-mcp/undo.md
What undo does on Uefn
AI agents call undo to permanently remove resources in Uefn, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why undo is rated Critical
Undo reverses a previous action in the editor, which could irrecoverably remove work or changes that were intentionally made. While 'undo' sounds benign, in an automated/AI context it can irreversibly discard intentional edits, effectively destroying state. It's not a simple write since it rolls back changes rather than creating or modifying data forward.
From the tool's definition Undo the last editor action via the transaction system
Attacks that exploit this kind of access
The rule that runs undo 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 undo, this is the rule to start with:
undo is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Uefn, apply this rule, and every undo call is checked against it from then on.
Questions about undo
Undo the last editor action via the transaction system. It is categorised as a Destructive tool in the Uefn MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Uefn MCP server in PolicyLayer and add a rule for undo: 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.
undo is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the undo 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 undo. 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.
undo 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.
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