clear_protection_trip
Clear an OVP/OCP trip after fixing its cause. The output stays OFF; use output_on to
This record as markdown: /tools/lab-instrument-mcps/clear-protection-trip.md
What clear_protection_trip does on Pypi:labmcp Alicat
AI agents call clear_protection_trip to permanently remove resources in Pypi:labmcp Alicat, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why clear_protection_trip is rated Critical
An AI agent that decides to call clear_protection_trip doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Pypi:labmcp Alicat is gone. There is no undo for destructive operations.
Attacks that exploit this kind of access
The rule that runs clear_protection_trip safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:labmcp Alicat, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For clear_protection_trip, this is the rule to start with:
clear_protection_trip is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:labmcp Alicat, apply this rule, and every clear_protection_trip call is checked against it from then on.
Questions about clear_protection_trip
Clear an OVP/OCP trip after fixing its cause. The output stays OFF; use output_on to. It is categorised as a Destructive tool in the Pypi:labmcp Alicat MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Pypi:labmcp Alicat MCP server in PolicyLayer and add a rule for clear_protection_trip: 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:labmcp Alicat. Nothing to install.
clear_protection_trip is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the clear_protection_trip 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 clear_protection_trip. 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.
clear_protection_trip is provided by the Pypi:labmcp Alicat MCP server (pypi:labmcp-alicat). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Pypi:labmcp Alicat, and thousands of servers like it.
Across the catalogue