AI agents call estimate_body_fat to retrieve information from TinyFn without modifying anything — 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.
Even though estimate_body_fat 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
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.
estimate_body_fat is one line of TinyFn's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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