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all_outputs_off

Switch every output OFF (emergency stop for the whole supply). Each channel is switched

SERVERPypi:labmcp Alicat SOURCEpypi:labmcp-alicat
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/lab-instrument-mcps/all-outputs-off.md

What all_outputs_off does on Pypi:labmcp Alicat

AI agents invoke all_outputs_off to trigger actions in Pypi:labmcp Alicat. 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 all_outputs_off is rated High

Triggers an emergency stop across all channels, a broad irreversible action with high blast radius.

From the tool's definition Switch every output OFF (emergency stop for the whole supply)

Risk signalsBulk/mass operation — affects multiple targets

Questions about all_outputs_off

What does the all_outputs_off tool do? +

Switch every output OFF (emergency stop for the whole supply). Each channel is switched. It is categorised as a Execute tool in the Pypi:labmcp Alicat MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on all_outputs_off? +

Register the Pypi:labmcp Alicat MCP server in PolicyLayer and add a rule for all_outputs_off: 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.

What risk level is all_outputs_off? +

all_outputs_off is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit all_outputs_off? +

Yes. Add a rate_limit block to the all_outputs_off 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.

How do I block all_outputs_off completely? +

Set action: deny in the PolicyLayer policy for all_outputs_off. 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.

What MCP server provides all_outputs_off? +

all_outputs_off 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.

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