lean_body_mass

Calculate lean body mass (LBM) using Boer formula.

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-mcp

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/io-github-scotia1973-bot-api-hub/lean-body-mass.md

WHAT IT DOES

What lean_body_mass does on GadgetHumans API Hub

AI agents call lean_body_mass to retrieve information from GadgetHumans API Hub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why lean_body_mass is rated Low

This is a pure mathematical computation tool that takes input (likely anthropometric measurements) and returns a calculated value. It does not create, modify, or delete any data; does not execute arbitrary code or shell commands; does not move money; and does not perform any irreversible operations. It fits the Read category as a computational utility that derives information from inputs without side effects.

From the tool's definition Tool performs a calculation using the Boer formula to derive lean body mass from input parameters. It retrieves/computes a result with no side effects, data creation, deletion, or external operations triggered.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs lean_body_mass safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For lean_body_mass, this is the rule to start with:

lean_body_mass Allowed

lean_body_mass 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": {
    "lean_body_mass": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every lean_body_mass call is checked against it from then on.

FAQ

Questions about lean_body_mass

What does the lean_body_mass tool do? +

Calculate lean body mass (LBM) using Boer formula. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on lean_body_mass? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for lean_body_mass: 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 GadgetHumans API Hub. Nothing to install.

What risk level is lean_body_mass? +

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

Can I rate-limit lean_body_mass? +

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

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

lean_body_mass is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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