run_browserstack_benchmark_lane

Return a BrowserStack/browser-automation benchmark lane payload.

SERVERNodebench SOURCEnodebench-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/run-browserstack-benchmark-lane.md

WHAT IT DOES

What run_browserstack_benchmark_lane does on Nodebench

AI agents invoke run_browserstack_benchmark_lane to trigger actions in Nodebench. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why run_browserstack_benchmark_lane is rated High

This tool executes browser automation operations, which qualifies as Execute category. BrowserStack is a cloud-based browser testing platform that performs real browser interactions. The 'run_' verb and reference to 'benchmark lane' suggest active execution of automated browser operations.

From the tool's definition Tool name contains 'run_' prefix and description states it 'Return[s] a BrowserStack/browser-automation benchmark lane payload' — indicates execution of browser automation operations via BrowserStack service.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs run_browserstack_benchmark_lane safely

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

run_browserstack_benchmark_lane Rate-limited

run_browserstack_benchmark_lane stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_browserstack_benchmark_lane": {
      "limits": [
        {
          "counter": "run_browserstack_benchmark_lane_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about run_browserstack_benchmark_lane

What does the run_browserstack_benchmark_lane tool do? +

Return a BrowserStack/browser-automation benchmark lane payload. It is categorised as a Execute tool in the Nodebench MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_browserstack_benchmark_lane? +

Register the Nodebench MCP server in PolicyLayer and add a rule for run_browserstack_benchmark_lane: 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 Nodebench. Nothing to install.

What risk level is run_browserstack_benchmark_lane? +

run_browserstack_benchmark_lane is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_browserstack_benchmark_lane? +

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

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

run_browserstack_benchmark_lane is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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