redo · AI-Canvas MCP Server MCP: Risk & Policy

WHAT IT DOES

What redo does on AI-Canvas MCP Server

AI agents use redo to create or update resources in AI-Canvas MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AI-Canvas MCP Server environment.

WHY IT NEEDS A POLICY

Why redo needs a policy

Redo is a state-modification operation that reapplies previously undone changes to a design document. While reversible (can be undone again), it actively alters the current state of the design. It does not read-only access data, execute arbitrary code, destructively delete data, or move money.

From the tool's definition Tool description states 'Redo the last undone operation', which reverses an undo action and restores previously modified design state. This is a write operation that modifies the design document.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

redo Rate-limited

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.

View as policy code

policy.json

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

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches AI-Canvas MCP Server, so you can run agents against it safely.

FAQ

Questions about redo

What does the redo tool do? +

Redo the last undone operation. It is categorised as a Write tool in the AI-Canvas MCP Server 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 AI-Canvas MCP Server 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 AI-Canvas MCP Server. 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 AI-Canvas MCP Server MCP server (laoluojuhai/ai-canvas). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.