Playwright MCP

browser_network_requests

Read-only

Returns a numbered list of network requests since page load so you can inspect any request by number for full details. Filter by URL regex or save results to a file.

Instructions

Returns a numbered list of network requests since loading the page. Use browser_network_request with the number to get full details.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "static": "<static>"
    },
    "name": "browser_network_requests"
  }
}

Input Schema

Name	Required	Description
`filter`	No	Only return requests whose URL matches this regexp (e.g. "/api/.*user").
`static`	Yes	Whether to include successful static resources like images, fonts, scripts, etc. Defaults to false.
`filename`	No	Filename to save the network requests to. If not provided, requests are returned as text.

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.0.77Oct 29, 2026

TDQS

A4.2/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds valuable context about the temporal scope ('since loading the page') and the numbered list format, which goes beyond annotations without contradicting them.

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

Conciseness5/5

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

Two concise sentences with no redundancy. The primary action is front-loaded, and the companion tool reference is placed efficiently at the end. Every word earns its place.

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?

The description tells the agent what the tool returns (a numbered list) and how to proceed for details. Since there is no output schema, this is essential. It does not describe potential error cases or edge scenarios, but for a read-only list tool with strong schema coverage, it is sufficiently complete.

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?

All three parameters have schema descriptions covering 100% of the input schema. The tool description does not add any additional meaning to the parameters themselves, so the baseline of 3 applies; it neither enhances nor detracts from what the schema already provides.

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

Purpose5/5

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

The description clearly states it returns a numbered list of network requests since page load, and explicitly differentiates from the sibling tool browser_network_request by instructing to use that tool for details. This is a specific verb+resource with a clear scope.

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?

The description gives an explicit usage pattern: first call this tool to get a list, then use browser_network_request with the number for full details. This is clear guidance on when to use it versus its companion, though it does not mention any other alternatives or exclusions.

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