generateUserAgent

Generates a user agent string, optionally matching a device brand, model, os and browser. To parse an existing user agent string instead use /v2/useragentparse.

SERVERAPI Ninjas SOURCEhttps://mcp.api-ninjas.com/mcp

Medium RISK CLASS

Category Write

Parameters 40 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/com-api-ninjas-mcp/generateuseragent.md

WHAT IT DOES

What generateUserAgent does on API Ninjas

AI agents use generateUserAgent to create or update resources in API Ninjas, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your API Ninjas environment.

Parameter	Type	Required	Description
`os`	string	—	Operating system (e.g. Windows, iOS, Android)
`brand`	string	—	Device brand (e.g. Apple, Samsung)
`model`	string	—	Device model (e.g. iPhone, Galaxy)
`browser`	string	—	Browser name (e.g. Chrome, Firefox, Safari)

Parameters from the server's own tool schema.

RISK

Why generateUserAgent is rated Medium

An AI agent can call generateUserAgent faster than any human can review: one bad instruction and it creates or modifies resources in API Ninjas by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs generateUserAgent safely

PolicyLayer is an MCP gateway: it sits between your AI agents and API Ninjas, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For generateUserAgent, this is the rule to start with:

generateUserAgent Rate-limited

generateUserAgent stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "generateUserAgent": {
      "limits": [
        {
          "counter": "generateuseragent_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect API Ninjas, apply this rule, and every generateUserAgent call is checked against it from then on.

FAQ

Questions about generateUserAgent

What does the generateUserAgent tool do? +

Generates a user agent string, optionally matching a device brand, model, os and browser. To parse an existing user agent string instead use /v2/useragentparse. It is categorised as a Write tool in the API Ninjas MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does generateUserAgent accept? +

generateUserAgent accepts 4 parameters: os, brand, model, browser. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on generateUserAgent? +

Register the API Ninjas MCP server in PolicyLayer and add a rule for generateUserAgent: 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 API Ninjas. Nothing to install.

What risk level is generateUserAgent? +

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

Can I rate-limit generateUserAgent? +

Yes. Add a rate_limit block to the generateUserAgent 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 generateUserAgent completely? +

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

generateUserAgent is provided by the API Ninjas MCP server (https://mcp.api-ninjas.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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