Skip to main content
Glama

Random User

fun__random-user
Read-onlyIdempotent

Generate random user profiles with names, addresses, emails, and photos for testing or development. Filter by nationality and receive verified data with quality scores and source citations.

Instructions

[Games, Media & Reference Agent] Generate random user profiles with names, addresses, emails, and photos. Optionally filter by nationality. Source: RandomUser.me (Public Domain), updates daily. Returns the Katzilla envelope { data, quality, citation } — quality scores freshness/uptime/confidence; citation carries the source URL, license, and a SHA-256 data hash for audit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoMaximum results to return (1–100)
nationalityNoNationality code (e.g. US, GB, FR, DE)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesStructured payload from the upstream source.
textNoPre-rendered text representation, when applicable.
qualityYesQuality scorecard: freshness, uptime, completeness, confidence, certainty.
citationYesProvenance block — source, license, retrieval timestamp, SHA-256 data hash, pre-formatted citation text.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate read-only, non-destructive, idempotent, and open-world behavior. The description adds valuable context beyond this: it discloses the source (RandomUser.me), license (Public Domain), update frequency (daily), and details about the output envelope (quality scores, citation with SHA-256 hash). This enriches the agent's understanding without contradicting annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is efficiently structured in two sentences: the first states the purpose and optional filter, the second covers source, updates, and output format. Every sentence adds essential information with zero waste, making it highly concise and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity, rich annotations (readOnlyHint, destructiveHint, idempotentHint, openWorldHint), and the presence of an output schema, the description is complete. It covers purpose, usage context, behavioral details (source, updates, output envelope), and aligns well with structured data, leaving no significant gaps for the agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents the 'count' and 'nationality' parameters. The description adds minimal param semantics by mentioning 'Optionally filter by nationality,' which aligns with the schema but doesn't provide extra details like example codes beyond what's implied. Baseline 3 is appropriate as the schema handles most of the parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the tool's purpose: 'Generate random user profiles with names, addresses, emails, and photos.' It specifies the exact resource (user profiles) and key attributes, and distinguishes itself from siblings by mentioning its unique source (RandomUser.me) and output format (Katzilla envelope), making it highly specific and differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for usage: it mentions optional filtering by nationality and specifies the source and update frequency (RandomUser.me, updates daily). However, it does not explicitly state when to use this tool versus alternatives or any exclusions, such as limitations compared to other demographic tools in the sibling list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/codeislaw101/katzilla'

If you have feedback or need assistance with the MCP directory API, please join our Discord server