force_trigger

Force one trigger (FORCE key). Only has an effect in NORMal or SINGle sweep while waiting.

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/force-trigger.md

WHAT IT DOES

What force_trigger does on Pypi:labmcp Alicat

AI agents invoke force_trigger 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 force_trigger is rated High

Triggers an instrument sweep action; external lab hardware operation with real effects.

From the tool's definition Force one trigger, only has effect in NORMal or SINGle sweep

Attacks that exploit this kind of access

RECOMMENDED RULE

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

force_trigger Rate-limited

force_trigger 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": {
    "force_trigger": {
      "limits": [
        {
          "counter": "force_trigger_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 force_trigger call is checked against it from then on.

FAQ

Questions about force_trigger

What does the force_trigger tool do? +

Force one trigger (FORCE key). Only has an effect in NORMal or SINGle sweep while waiting. 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 force_trigger? +

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

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

Can I rate-limit force_trigger? +

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

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

force_trigger 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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