This record as markdown: /tools/io-github-lokmenower-best-cad-mcp/set-active-ucs.md
What set_active_ucs does on Pypi:best Cad
AI agents invoke set_active_ucs 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 set_active_ucs is rated High
This tool activates/switches the User Coordinate System in AutoCAD, which is an external operation with side effects on the CAD environment. It doesn't merely read data, but changes the active state of the application. It's not destructive (reversible by switching back), so Execute is the most appropriate category.
From the tool's definition 激活指定的UCS (Activate the specified UCS) — triggers an external CAD operation that changes the active User Coordinate System in AutoCAD.
Attacks that exploit this kind of access
The rule that runs set_active_ucs 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 set_active_ucs, this is the rule to start with:
set_active_ucs 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 set_active_ucs call is checked against it from then on.
Questions about set_active_ucs
激活指定的UCS。. 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 set_active_ucs: 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.
set_active_ucs 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 set_active_ucs 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 set_active_ucs. 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.
set_active_ucs 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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