generate_random_numbers

A write tool on the GadgetHumans API Hub MCP server.

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-scotia1973-bot-api-hub/generate-random-numbers.md

WHAT IT DOES

What generate_random_numbers does on GadgetHumans API Hub

AI agents use generate_random_numbers to create or update resources in GadgetHumans API Hub, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GadgetHumans API Hub environment.

RISK

Why generate_random_numbers is rated Medium

An AI agent can call generate_random_numbers faster than any human can review: one bad instruction and it creates or modifies resources in GadgetHumans API Hub by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

generate_random_numbers Rate-limited

generate_random_numbers stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_random_numbers": {
      "limits": [
        {
          "counter": "generate_random_numbers_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT 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 generate_random_numbers call is checked against it from then on.

FAQ

Questions about generate_random_numbers

What does the generate_random_numbers tool do? +

generate_random_numbers is a write tool on the GadgetHumans API Hub MCP server. It is categorised as a Write tool in the GadgetHumans API Hub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_random_numbers? +

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

generate_random_numbers is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit generate_random_numbers? +

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

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

generate_random_numbers 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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