fitness_age_calc

Estimate fitness age based on resting heart rate and activity.

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/fitness-age-calc.md

WHAT IT DOES

What fitness_age_calc does on GadgetHumans API Hub

AI agents call fitness_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.

RISK

Why fitness_age_calc is rated Low

This tool takes inputs (resting heart rate, activity level) and returns a calculated estimate with no side effects. It performs a read-only computation similar to other utility tools on this server (e.g., angle_convert, area_convert). There is no data mutation, external execution, or irreversible action.

From the tool's definition Tool name 'fitness_age_calc' and description 'Estimate fitness age based on resting heart rate and activity' indicate data retrieval and calculation only. No modification, deletion, code execution, or financial operations are performed.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs fitness_age_calc safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fitness_age_calc, this is the rule to start with:

fitness_age_calc Allowed

fitness_age_calc is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "fitness_age_calc": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every fitness_age_calc call is checked against it from then on.

FAQ

Questions about fitness_age_calc

What does the fitness_age_calc tool do? +

Estimate fitness age based on resting heart rate and activity. 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 fitness_age_calc? +

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

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

Can I rate-limit fitness_age_calc? +

Yes. Add a rate_limit block to the fitness_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 fitness_age_calc completely? +

Set action: deny in the PolicyLayer policy for fitness_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 fitness_age_calc? +

fitness_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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