heart_rate_zones

Calculate target heart rate zones for exercise.

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-scotia1973-bot-api-hub/heart-rate-zones.md

What heart_rate_zones does on GadgetHumans API Hub

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

Why heart_rate_zones is rated Low

This tool performs a mathematical calculation based on input parameters (likely age, max heart rate, or exercise intensity) and returns computed heart rate zone recommendations. It has no side effects, does not create, modify, or delete data, and does not execute external operations or commit financial obligations. It is a pure computational utility consistent with the other utility APIs in this server.

From the tool's definition Tool name 'heart_rate_zones' and description 'Calculate target heart rate zones for exercise' indicate a read-only calculation operation that retrieves or computes fitness data without modifying any state.

Questions about heart_rate_zones

What does the heart_rate_zones tool do? +

Calculate target heart rate zones for exercise. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on heart_rate_zones? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for heart_rate_zones: 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 GadgetHumans API Hub. Nothing to install.

What risk level is heart_rate_zones? +

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

Can I rate-limit heart_rate_zones? +

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

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

heart_rate_zones is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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