Medium Risk

generate_by_gender

Generate random user profiles by gender ("male" or "female"). Returns names, contact info, photos, and demographics. Specify count for multiple profiles.

Part of the Randomuser server.

generate_by_gender can modify Randomuser data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use generate_by_gender to create or modify resources in Randomuser. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call generate_by_gender repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Randomuser.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_by_gender": {
      "limits": [
        {
          "counter": "generate_by_gender_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Randomuser policy for all 22 tools.

Get this rule live on your own Randomuser server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access generate_by_gender gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so generate_by_gender only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the generate_by_gender tool do? +

Generate random user profiles by gender ("male" or "female"). Returns names, contact info, photos, and demographics. Specify count for multiple profiles.. It is categorised as a Write tool in the Randomuser 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_by_gender? +

Register the Randomuser MCP server in PolicyLayer and add a rule for generate_by_gender: 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 Randomuser. Nothing to install.

What risk level is generate_by_gender? +

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

Can I rate-limit generate_by_gender? +

Yes. Add a rate_limit block to the generate_by_gender 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_by_gender completely? +

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

generate_by_gender is provided by the Randomuser MCP server (https://gateway.pipeworx.io/randomuser/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Randomuser tool call.

Deterministic rules across all 22 Randomuser tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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