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estimate_body_fat

Estimate body fat percentage using US Navy method.

SERVERTinyFn SOURCEhttps://api.tinyfn.io/mcp/all/
Low RISK CLASS
Category Read
Parameters 54 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-tinyfn-tinyfn/estimate-body-fat.md

What estimate_body_fat does on TinyFn

AI agents call estimate_body_fat to retrieve information from TinyFn 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 Yes Sex: male or female
hip_cm number Hip circumference in cm (required for females)
neck_cm number Yes Neck circumference in cm
waist_cm number Yes Waist circumference in cm
height_cm number Yes Height in cm

Parameters from the server's own tool schema.

Why estimate_body_fat is rated Low

This is a deterministic computational tool that takes measurements as input and returns a calculated estimate. It performs no side effects, does not modify any persistent state, and is purely analytical in nature. Classification as Read is appropriate for tools that compute and return information without side effects.

From the tool's definition Tool name 'estimate_body_fat' and description 'Estimate body fat percentage using US Navy method' indicate a calculation/analysis function that retrieves a computed result based on input parameters (likely body measurements).

Questions about estimate_body_fat

What does the estimate_body_fat tool do? +

Estimate body fat percentage using US Navy method. It is categorised as a Read tool in the TinyFn MCP Server, which means it retrieves data without modifying state.

What parameters does estimate_body_fat accept? +

estimate_body_fat accepts 5 parameters: sex, hip_cm, neck_cm, waist_cm, height_cm. Required: sex, 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 estimate_body_fat? +

Register the TinyFn MCP server in PolicyLayer and add a rule for estimate_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 TinyFn. Nothing to install.

What risk level is estimate_body_fat? +

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

Can I rate-limit estimate_body_fat? +

Yes. Add a rate_limit block to the estimate_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 estimate_body_fat completely? +

Set action: deny in the PolicyLayer policy for estimate_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 estimate_body_fat? +

estimate_body_fat is provided by the TinyFn MCP server (https://api.tinyfn.io/mcp/all/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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