lock_keypad

Block or unblock the balance keys, e.g. so nobody tares by accident during a long logging run.

SERVERPypi:labmcp Alicat SOURCEpypi:labmcp-alicat

Medium RISK CLASS

Category Write

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/lock-keypad.md

WHAT IT DOES

What lock_keypad does on Pypi:labmcp Alicat

AI agents use lock_keypad to create or update resources in Pypi:labmcp Alicat, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pypi:labmcp Alicat environment.

RISK

Why lock_keypad is rated Medium

Reversibly locks or unlocks physical keypad controls on lab balance instrument.

From the tool's definition Block or unblock the balance keys

Attacks that exploit this kind of access

RECOMMENDED RULE

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

lock_keypad Rate-limited

lock_keypad stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "lock_keypad": {
      "limits": [
        {
          "counter": "lock_keypad_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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 lock_keypad call is checked against it from then on.

FAQ

Questions about lock_keypad

What does the lock_keypad tool do? +

Block or unblock the balance keys, e.g. so nobody tares by accident during a long logging run. It is categorised as a Write tool in the Pypi:labmcp Alicat MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on lock_keypad? +

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

lock_keypad is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit lock_keypad? +

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

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

lock_keypad 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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