force_calc

Calculate force, mass, or acceleration using F = ma.

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/force-calc.md

WHAT IT DOES

What force_calc does on GadgetHumans API Hub

AI agents call force_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 force_calc is rated Low

This tool performs a pure mathematical calculation (Newton's second law) and returns a result. It has no side effects, does not modify any data, and does not execute code or commands. It is a read/query-style utility that computes an output from given inputs.

From the tool's definition Calculate force, mass, or acceleration using F = ma

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs force_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 force_calc, this is the rule to start with:

force_calc Allowed

force_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": {
    "force_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 force_calc call is checked against it from then on.

FAQ

Questions about force_calc

What does the force_calc tool do? +

Calculate force, mass, or acceleration using F = ma. 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 force_calc? +

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

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

Can I rate-limit force_calc? +

Yes. Add a rate_limit block to the force_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 force_calc completely? +

Set action: deny in the PolicyLayer policy for force_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 force_calc? +

force_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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