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stop_heating

Switch the hotplate heater off (STOP_1). Stirring continues. The plate stays hot for a

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/stop-heating.md

What stop_heating does on Pypi:labmcp Alicat

AI agents invoke stop_heating 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 stop_heating is rated High

Triggers external hardware operation (hotplate) with reversible but consequential physical effects on experiments.

From the tool's definition Switch the hotplate heater off; lab instrument control with physical effects.

Questions about stop_heating

What does the stop_heating tool do? +

Switch the hotplate heater off (STOP_1). Stirring continues. The plate stays hot for a. 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 stop_heating? +

Register the Pypi:labmcp Alicat MCP server in PolicyLayer and add a rule for stop_heating: 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 stop_heating? +

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

Can I rate-limit stop_heating? +

Yes. Add a rate_limit block to the stop_heating 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 stop_heating completely? +

Set action: deny in the PolicyLayer policy for stop_heating. 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 stop_heating? +

stop_heating 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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