pace_calc

Calculate running/walking pace, speed, and finish time.

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/pace-calc.md

WHAT IT DOES

What pace_calc does on GadgetHumans API Hub

AI agents call pace_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 pace_calc is rated Low

The tool performs mathematical computations on user-provided inputs to derive running/walking metrics. It retrieves or calculates data with no side effects, no data modification, no code execution, and no external state changes. This is a straightforward Read-category utility function.

From the tool's definition pace_calc: Calculate running/walking pace, speed, and finish time. This is a pure calculation/query tool that takes input parameters (distance, time, etc.) and returns computed results without modifying any data or triggering external operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pace_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 pace_calc, this is the rule to start with:

pace_calc Allowed

pace_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": {
    "pace_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 pace_calc call is checked against it from then on.

FAQ

Questions about pace_calc

What does the pace_calc tool do? +

Calculate running/walking pace, speed, and finish time. 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 pace_calc? +

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

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

Can I rate-limit pace_calc? +

Yes. Add a rate_limit block to the pace_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 pace_calc completely? +

Set action: deny in the PolicyLayer policy for pace_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 pace_calc? +

pace_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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