Low Risk

network_monitor

Monitor network requests via CDP. Workflow: start → trigger action → get(pattern: 'api'). Use INSTEAD of evaluate-based fetch interceptors (window.fetch = ..., XMLHttpRequest.prototype.open = ...) — network_monitor captures all requests including those initiated by the page itself.

Part of the Chrome server.

network_monitor is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call network_monitor to retrieve information from Chrome without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though network_monitor only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "network_monitor": {}
  }
}

See the full Chrome policy for all 23 tools.

Get this rule live on your own Chrome server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 23 tools →

These attack patterns abuse exactly the kind of access network_monitor gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so network_monitor only ever does what you allow.

SECURE CHROME →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the network_monitor tool do? +

Monitor network requests via CDP. Workflow: start → trigger action → get(pattern: 'api'). Use INSTEAD of evaluate-based fetch interceptors (window.fetch = ..., XMLHttpRequest.prototype.open = ...) — network_monitor captures all requests including those initiated by the page itself.. It is categorised as a Read tool in the Chrome MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on network_monitor? +

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

What risk level is network_monitor? +

network_monitor is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit network_monitor? +

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

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

network_monitor is provided by the Chrome MCP server (@silbercue/chrome). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Chrome tool call.

Deterministic rules across all 23 Chrome tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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