read_all_pressures

Read every channel of the controller at once (PRX), with status per channel.

SERVERPypi:labmcp Alicat SOURCEpypi:labmcp-alicat

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/lab-instrument-mcps/read-all-pressures.md

WHAT IT DOES

What read_all_pressures does on Pypi:labmcp Alicat

AI agents call read_all_pressures to retrieve information from Pypi:labmcp Alicat without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why read_all_pressures is rated Low

Reads pressure sensor data without modification, side effects, or external operations.

From the tool's definition Read every channel of the controller at once, status per channel.

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

RECOMMENDED RULE

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

read_all_pressures Allowed

read_all_pressures is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "read_all_pressures": {}
  }
}

ALLOW ONLY 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 read_all_pressures call is checked against it from then on.

FAQ

Questions about read_all_pressures

What does the read_all_pressures tool do? +

Read every channel of the controller at once (PRX), with status per channel. It is categorised as a Read tool in the Pypi:labmcp Alicat MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on read_all_pressures? +

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

read_all_pressures is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit read_all_pressures? +

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

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

read_all_pressures 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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