This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/redo.md
What redo does on Pypi:best Cad
AI agents use redo to create or update resources in Pypi:best Cad, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pypi:best Cad environment.
Why redo is rated Medium
Redo re-applies previously undone changes to the CAD drawing. It creates or restores modifications, making it a Write operation. It is reversible (can be undone again), so it doesn't qualify as Destructive. Misuse could reintroduce unwanted changes to a drawing, giving it medium severity.
From the tool's definition 重做被撤销的操作 (Redo an undone operation)
Attacks that exploit this kind of access
The rule that runs redo safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:best Cad, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For redo, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:best Cad, apply this rule, and every redo call is checked against it from then on.
Questions about redo
重做被撤销的操作。. It is categorised as a Write tool in the Pypi:best Cad MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Pypi:best Cad 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 Pypi:best Cad. Nothing to install.
redo 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 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. 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 is provided by the Pypi:best Cad MCP server (pypi:best-cad-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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