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getRandomUsers

Read-only

Generates fake user profiles such as name, email, address and username for testing or placeholders, with count, gender, age, locale, field selection and seed options.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "getRandomUsers"
  }
}

Input Schema

NameRequiredDescriptionDefault
seedNoSeed value for reproducible random data generation
countNoNumber of users to generate (1-10000)
fieldsNoComma-separated list of fields to include. If not specified, all available fields are returned.
genderNoFilter by genderany
localeNoLocale for generating localized data (e.g., en_US, de_DE, fr_FR)en_US
excludeNoComma-separated list of fields to exclude from the response
max_ageNoMaximum age (0-115)
min_ageNoMinimum age (0-115)
nationalityNoNationality filterany
password_lengthNoLength of generated passwords (6-128)
blank_percentageNoPercentage of fields to leave blank (0-100)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a non-mutating read. The description adds that output is fabricated profile data and hints at reproducibility via a seed option, but says nothing about determinism guarantees, response shape, or whether 'Generates' has any persistent side effect. Adequate but thin beyond annotations.

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

Conciseness4/5

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

One front-loaded sentence that leads with what is produced before listing options. The trailing option enumeration is somewhat list-like but earns its place by signalling the breadth of controls.

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

Completeness4/5

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

With 11 optional parameters, 100% schema coverage, and no output schema, the description covers the essentials: what is generated, example fields, and the intended use. Only minor behavioral detail (determinism, return envelope) is absent, which the schema cannot supply.

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 every parameter (count, gender, min/max_age, locale, nationality, fields, exclude, seed, password_length, blank_percentage) is already fully documented in the schema. The description's parenthetical parameter list adds no meaning beyond it, so the baseline 3 applies.

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

Purpose4/5

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

States a specific verb and resource ('Generates fake user profiles such as name, email, address and username') plus the intent ('for testing or placeholders'). An agent can immediately tell this apart from generatePassword, generateLoremIpsum, or getRandomImage, though no sibling is named explicitly.

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?

'for testing or placeholders' gives a clear usage context that tells the agent when this tool is appropriate. It stops short of stating exclusions or naming alternative tools for adjacent needs, so it is context without routing.

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

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