Synthetic Data — Random User
Server Details
Generate synthetic random user data for testing, demos, and development without using real persona.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Tool Definition Quality
Average 4.9/5 across 1 of 1 tools scored.
Only one tool exists, so there is no possibility of confusing it with another tool. Its purpose is clearly described and distinct.
The single tool name 'random_users' is clear, descriptive, and follows a consistent naming style. There are no inconsistencies or mixed conventions.
One tool is on the low end and feels thin, but it is appropriate for the server's narrow scope of generating random user profiles. Typical MCP servers have 3-15 tools, so this is borderline.
The tool fully covers the stated purpose of generating synthetic user profiles, with parameters for quantity and pro status. No obvious missing operations exist for this domain.
Available Tools
1 toolrandom_usersGenerate Random UsersARead-onlyInspect
Generate synthetic / fake user profiles via the MwVideos random_users API (POST /mwvideos/api/random_users). Returns name, gender, location, email, login, dob, phone, picture, and nat. Use when the user asks for random users, fake people, sample contacts, demo personas, UI fixtures, or test profiles. Pass results for how many profiles (default 1, minimum 1) and isPro as 0 or 1 when relevant (default 0). Authenticated user_id is injected server-side — do not invent profiles; always call this tool. These are FAKE people for demos and testing, not real PII.
| Name | Required | Description | Default |
|---|---|---|---|
| isPro | No | Pro flag passed through to the upstream API (0 or 1). | |
| results | No | Number of random user profiles to generate. Must be an integer >= 1. |
Output Schema
| Name | Required | Description |
|---|---|---|
| info | No | |
| status | Yes | 1 = success, 0 = error |
| message | No | |
| results | Yes | List of synthetic user profiles from the upstream API. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the readOnlyHint annotation, the description discloses that 'Authenticated user_id is injected server-side' and warns that these are 'FAKE people for demos and testing, not real PII.' This adds meaningful context about the tool's behavior and data nature.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is efficiently organized: purpose first, then usage, parameters, and a final caveat. Every sentence contributes, and the length is appropriate for the tool's complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers purpose, usage, parameters, authentication context, and data nature, while the output schema handles return values. No significant gaps remain for effective tool invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already documents both parameters with descriptions and examples, achieving 100% coverage. The description adds usage nuance, such as 'results' default/minimum and 'isPro' as 0 or 1 'when relevant', which enhances understanding beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Generate synthetic / fake user profiles' and references the specific API endpoint (POST /mwvideos/api/random_users). It also lists the returned fields, making the purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit use cases: 'when the user asks for random users, fake people, sample contacts, demo personas, UI fixtures, or test profiles.' It also instructs to 'always call this tool' rather than inventing profiles, giving clear guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Frequently Asked Questions
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GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user or an account that owns the GitHub organization, then choose Claim with GitHub.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
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If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
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For server owners:
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The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
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Credentials required to access the server are missing or invalid
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