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browser_extract_list

Extract complete data from long virtualized lists by auto-scrolling until every row loads. Returns deduplicated row text and a reached_end flag.

Instructions

Read EVERY row of a long or virtualised list by scrolling its container until no new rows appear. Use this instead of browser_get_page_content whenever a page shows a repeating list longer than the viewport — mail lists (Outlook, Gmail), invoice/billing tables, search results, transaction histories. Those UIs keep only ~7 rows in the DOM at a time, so a single page read returns a sliver and looks complete. Pass the CSS selector of one repeating row (e.g. '[role="option"]', 'tr', '[role="listitem"]'); the scrollable ancestor is found automatically. Returns deduplicated row text plus reached_end so you know whether you saw the whole list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wait_msNoWait after each scroll so new rows can render (default 350)
max_rowsNoStop after this many unique rows (default 500, max 5000)
selectorYesCSS selector matching ONE repeating row (e.g. '[role="option"]' in Outlook, 'tr' in a table)
containerNoOptional CSS selector for the scrollable container. Omit to auto-detect the row's nearest scrollable ancestor.
scroll_stepNoPixels per scroll. Omit for 85% of the container height.
stable_roundsNoConsecutive scrolls with no new rows before stopping (default 3)
Install Server

TDQS

A4.7/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the scrolling mechanism, automatic scrollable-ancestor detection, deduplication of row text, and the reached_end return value. It does not detail failure modes or potential side effects like triggering lazy-loading requests, but the core behavior is clearly disclosed.

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?

The description is dense but every sentence earns its place: purpose, usage guidance, rationale, parameter guidance, and return behavior are each covered in a clear, front-loaded structure. No filler or redundant content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a complex tool with 6 parameters and no output schema, and the description covers all essential decision-making information: what it does, when to use it instead of a sibling, how to invoke it, what the selector should be, and what the return value indicates. The remaining parameter details are fully documented in the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds meaningful parameter context beyond the schema: it clarifies the selector should match ONE repeating row, gives concrete selector examples for different UIs, and states that the scrollable ancestor is auto-detected. This helps an agent choose the right selector value.

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 states a specific verb and resource: read EVERY row of a long or virtualised list by scrolling until no new rows appear. It clearly distinguishes itself from browser_get_page_content by naming it directly and describing the exact scenario where it applies.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use this instead of browser_get_page_content whenever a page shows a repeating list longer than the viewport' and gives concrete examples such as Outlook mail lists, invoice tables, search results, and transaction histories. It also explains why the alternative fails in these cases, leaving no ambiguity about when to choose this tool.

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

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