redo_project
Redo the most recently undone project edit.
This record as markdown: /tools/cutpilot/redo-project.md
What redo_project does on Cutpilot
AI agents use redo_project to create or update resources in Cutpilot, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cutpilot environment.
Why redo_project is rated Medium
An AI agent can call redo_project faster than any human can review: one bad instruction and it creates or modifies resources in Cutpilot by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs redo_project safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cutpilot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For redo_project, this is the rule to start with:
redo_project 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 Cutpilot, apply this rule, and every redo_project call is checked against it from then on.
Questions about redo_project
Redo the most recently undone project edit. It is categorised as a Write tool in the Cutpilot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Cutpilot MCP server in PolicyLayer and add a rule for redo_project: 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 Cutpilot. Nothing to install.
redo_project 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 redo_project 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 redo_project. 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.
redo_project is provided by the Cutpilot MCP server (Hellotravisss/cutpilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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