This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/regen.md
What regen does on Pypi:best Cad
AI agents invoke regen to trigger actions in Pypi:best Cad. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why regen is rated High
This tool triggers a CAD regeneration/refresh operation, which is an external operation executed against the AutoCAD environment. It does not simply read data, nor does it write or delete content — it causes AutoCAD to recompute and redraw the display. This is an Execute-category action. Misuse risk is low since it only refreshes the view without modifying or destroying data.
From the tool's definition 重新生成图形显示(刷新视图)— 'regenerate drawing display (refresh view)'
Attacks that exploit this kind of access
The rule that runs regen 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 regen, this is the rule to start with:
regen stays usable, but rate-capped: a runaway agent can't fire it dozens of times 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 regen call is checked against it from then on.
Questions about regen
重新生成图形显示(刷新视图)。. It is categorised as a Execute tool in the Pypi:best Cad MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pypi:best Cad MCP server in PolicyLayer and add a rule for regen: 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.
regen is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the regen 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 regen. 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.
regen 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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