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Glama

Network requests

browser_network

Debug web apps by listing a tab's network requests, filtering by URL, type, or failure, and retrieving details by index.

Instructions

Tab network request list (newest at bottom). Records the latest 500 since CDPM first attached to the tab. Filter with filter (URL part), type (Document, XHR, Fetch, Script, Image, etc.), failed (failures only). For details pass the n-number to browser_network_detail.

Input Schema

NameRequiredDescriptionDefault
tabNoTarget tab: number (1, 2…) or ID ("t7"). Use the stable ID when agents share a slot. Required for action tools when there are multiple tabs.
slotYesBrowser slot 1-30. "3", "slot 3", "browser 3" → 3. If the user gives a port like 14052, subtract 14049.
typeNoRequest type (e.g. XHR, Fetch, Document, Script, Image)
agentNoYour display name, shown to other agents. Subagents must always set it. Default "claude-1e1b".
limitNoMax count (default 40, newest first)
failedNoFailed requests only
filterNoOnly requests whose URL contains this
multiSlotNotrue only when one agent must handle several slots together (e.g. comparing). Normally omit (one agent = one slot; use subagents for the rest)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.10
    • changedInput schema / properties / agent / description
      Previous value: -"Your display name, shown to other agents. Subagents must always set it. Default \"claude-68d9\"."New value: +"Your display name, shown to other agents. Subagents must always set it. Default \"claude-1e1b\"."
  2. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose real behavioral traits: ordering ('newest at bottom') and a retention cap ('latest 500 since CDPM first attached'). It does not describe the return shape or how limit/type interact with the 500 cap, but the retention and ordering disclosure is above baseline.

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?

Four tight clauses, front-loaded with the core purpose and ordering, then the retention cap, filter axes, and the escape hatch to the detail tool. No sentence is wasted.

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?

No output schema or annotations exist, so the description must stand alone; it covers purpose, ordering, retention, filters, and the handoff to browser_network_detail, and the 'n-number' reference implies numbered entries. Return format and pagination behavior are still undescribed, keeping it short of a 5.

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?

Schema description coverage is 100%, so the schema already documents all eight parameters. The description restates the filter/type/failed semantics and gives type examples (Document, XHR, Fetch, Script, Image), which roughly mirrors the schema rather than adding new meaning beyond it.

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?

States a specific verb+resource ('Tab network request list') with an explicit scope note ('newest at bottom'), and explicitly routes detail lookups to the sibling browser_network_detail. An agent can distinguish this from browser_network_detail without opening either schema.

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?

Names the alternative (browser_network_detail) and the condition for using it ('For details pass the n-number'), and explains the filtering axes. It lacks explicit when-not guidance or a note that this is a read-only view versus the detail tool, but usage context is clear.

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