metabolic_age_calc

Compare BMR-based metabolic age to chronological age.

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/metabolic-age-calc.md

What metabolic_age_calc does on GadgetHumans API Hub

AI agents call metabolic_age_calc 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 metabolic_age_calc is rated Low

This is a purely computational utility that retrieves or calculates information (metabolic age metrics) and returns results. It has no capability to modify data, execute arbitrary code, trigger external operations, delete data, or handle financial transactions. The read-only nature and benign calculation scope place it firmly in the Read category with low severity.

From the tool's definition Tool performs a calculation-based comparison ('Compare BMR-based metabolic age to chronological age') with no side effects. Returns computed results based on input parameters without modifying, executing external operations, or affecting data systems.

Questions about metabolic_age_calc

What does the metabolic_age_calc tool do? +

Compare BMR-based metabolic age to chronological age. 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 metabolic_age_calc? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for metabolic_age_calc: 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 metabolic_age_calc? +

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

Can I rate-limit metabolic_age_calc? +

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

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

metabolic_age_calc 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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