body_fat

Body-Fat Percentage (U.S. Navy) — Body-fat % via the U.S. Navy circumference method (height/neck/waist, plus hip for women), the ACE category, and fat/lean mass if a body weight is given.

SERVERGateway SOURCEhttps://wingmanprotocol.com/mcp
Low RISK CLASS
Category Read
Parameters 63 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-wingmanprotocol-agent-gateway/body-fat.md

What body_fat does on Gateway

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

ParameterTypeRequiredDescription
sex string 'male' or 'female' (default male)
hip_cm number Hip circumference in cm (required for the female estimate)
neck_cm number Yes Neck circumference in centimetres
waist_cm number Yes Waist circumference in centimetres
height_cm number Yes Height in centimetres
weight_kg number Body weight in kg (optional; enables fat/lean mass)

Parameters from the server's own tool schema.

Why body_fat is rated Low

This is a pure computational/query tool that retrieves a calculated result (body-fat percentage) from anthropometric inputs. It has no side effects, does not modify any data, and poses no security risk even if an AI agent misuses it with arbitrary inputs.

From the tool's definition Tool performs a calculation based on input measurements (height, neck, waist, hip) and returns body-fat percentage and ACE category—no state modification, data creation, deletion, code execution, or financial transaction.

Questions about body_fat

What does the body_fat tool do? +

Body-Fat Percentage (U.S. Navy) — Body-fat % via the U.S. Navy circumference method (height/neck/waist, plus hip for women), the ACE category, and fat/lean mass if a body weight is given. It is categorised as a Read tool in the Gateway MCP Server, which means it retrieves data without modifying state.

What parameters does body_fat accept? +

body_fat accepts 6 parameters: sex, hip_cm, neck_cm, waist_cm, height_cm, weight_kg. Required: neck_cm, waist_cm, height_cm. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on body_fat? +

Register the Gateway MCP server in PolicyLayer and add a rule for body_fat: 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 Gateway. Nothing to install.

What risk level is body_fat? +

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

Can I rate-limit body_fat? +

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

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

body_fat is provided by the Gateway MCP server (https://wingmanprotocol.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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