tare

Tare the balance: store the current load (e.g. an empty container) as the tare weight.

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/tare.md

WHAT IT DOES

What tare does on Pypi:labmcp Alicat

AI agents call tare 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 tare is rated Low

Even though tare only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

tare Allowed

tare 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": {
    "tare": {}
  }
}

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 tare call is checked against it from then on.

FAQ

Questions about tare

What does the tare tool do? +

Tare the balance: store the current load (e.g. an empty container) as the tare weight. 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 tare? +

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

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

Can I rate-limit tare? +

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

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

tare 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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