AI agents call ideal_weight 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 |
height_cm | number | Yes | Height in centimeters |
Parameters from the server's own tool schema.
This tool retrieves or computes a result based on input parameters (height, gender, etc.) without modifying any data, executing external commands, or triggering irreversible actions. It falls squarely into the Read category as a deterministic mathematical calculator. Severity is low because misuse poses no meaningful security or operational risk to systems or data.
From the tool's definition Tool name is 'ideal_weight' and description states 'Calculate ideal body weight using various formulas' — this is a pure calculation/query operation with no side effects, data modification, code execution, or destructive action.
Attacks that exploit this kind of access
Calculate ideal body weight using various formulas. It is categorised as a Read tool in the TinyFn MCP Server, which means it retrieves data without modifying state.
ideal_weight accepts 2 parameters: sex, height_cm. Required: sex, 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 ideal_weight: 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.
ideal_weight 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 ideal_weight 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 ideal_weight. 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.
ideal_weight 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.
ideal_weight 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.
Teams ship this data inside their own products. See what a licence covers →