estimate_body_fat
Estimate body fat percentage using US Navy method.
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.
| Parameter | Type | Required | Description |
|---|---|---|---|
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).
Attacks that exploit this kind of access
The rule that runs estimate_body_fat safely
PolicyLayer is an MCP gateway: it sits between your AI agents and TinyFn, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For estimate_body_fat, this is the rule to start with:
estimate_body_fat is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect TinyFn, apply this rule, and every estimate_body_fat call is checked against it from then on.
Questions about estimate_body_fat
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.
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.
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.
estimate_body_fat is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
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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