zero_sensor

Dark-zero the sensor (removes dark current / thermal offset). BEFORE calling, ask the user

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/zero-sensor.md

WHAT IT DOES

What zero_sensor does on Pypi:labmcp Alicat

AI agents invoke zero_sensor 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.

RISK

Why zero_sensor is rated High

Triggers a calibration operation on physical lab hardware with real-world effects.

From the tool's definition Dark-zero the sensor, removes dark current / thermal offset

Attacks that exploit this kind of access

RECOMMENDED RULE

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

zero_sensor Rate-limited

zero_sensor 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "zero_sensor": {
      "limits": [
        {
          "counter": "zero_sensor_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT 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 zero_sensor call is checked against it from then on.

FAQ

Questions about zero_sensor

What does the zero_sensor tool do? +

Dark-zero the sensor (removes dark current / thermal offset). BEFORE calling, ask the user. 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 zero_sensor? +

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

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

Can I rate-limit zero_sensor? +

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

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

zero_sensor 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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