clear_calibration

Delete all stored calibration data (Cal,clear). pH/ORP/DO/EC/RTD return to uncalibrated;

SERVERPypi:labmcp Alicat SOURCEpypi:labmcp-alicat

Critical RISK CLASS

Category Destructive

Parameters 00 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/lab-instrument-mcps/clear-calibration.md

WHAT IT DOES

What clear_calibration does on Pypi:labmcp Alicat

AI agents call clear_calibration 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.

RISK

Why clear_calibration is rated Critical

Irreversibly removes calibration data essential for instrument accuracy; cannot be easily recovered without recalibration.

From the tool's definition Delete all stored calibration data; pH/ORP/DO/EC/RTD return to uncalibrated.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs clear_calibration 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_calibration, this is the rule to start with:

clear_calibration Hidden

clear_calibration is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "clear_calibration"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:labmcp Alicat, apply this rule, and every clear_calibration call is checked against it from then on.

FAQ

Questions about clear_calibration

What does the clear_calibration tool do? +

Delete all stored calibration data (Cal,clear). pH/ORP/DO/EC/RTD return to uncalibrated;. 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.

How do I enforce a policy on clear_calibration? +

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

clear_calibration is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit clear_calibration? +

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

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

clear_calibration 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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