test.random.user
Generate realistic random user profiles — name, email, phone, address, age, gender, photo. Filter by nationality and gender. For testing and demo data (RandomUser.me)
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/test.random.user.md
What test.random.user does on Apibase
AI agents call test.random.user to retrieve information from Apibase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
count | integer | — | Number of random users to generate (default 1, max 20) |
gender | string | — | Gender filter |
nationality | string | — | Nationality filter — comma-separated ISO codes (e.g. "us", "gb,fr,de") |
Parameters from the server's own tool schema.
Why test.random.user is rated Low
Tool generates synthetic test data only; no real data access, creation, or modification occurs.
From the tool's definition Generate realistic random user profiles for testing and demo data
Attacks that exploit this kind of access
The rule that runs test.random.user safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For test.random.user, this is the rule to start with:
test.random.user is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Apibase, apply this rule, and every test.random.user call is checked against it from then on.
Questions about test.random.user
Generate realistic random user profiles — name, email, phone, address, age, gender, photo. Filter by nationality and gender. For testing and demo data (RandomUser.me). It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
test.random.user accepts 3 parameters: count, gender, nationality. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for test.random.user: 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 Apibase. Nothing to install.
test.random.user is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the test.random.user 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.
Set action: deny in the PolicyLayer policy for test.random.user. 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.
test.random.user is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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