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extract

Extract the clean main content of any web page by rendering with real Chromium to handle JavaScript, then stripping ads and boilerplate. Returns Markdown, text, or HTML for use in LLMs and RAG.

Instructions

Extract the clean main content of a web page for LLMs / RAG.

Renders the page with real Chromium (so JavaScript-built pages work), then strips ads, navigation, and boilerplate. Returns clean Markdown, text, or HTML.

Args: url: Page URL to extract (http/https). format: "markdown", "text", or "html". include_tables: Keep tables in the extracted content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
formatNomarkdown
include_tablesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Discloses key behavioral traits: uses real Chromium for rendering, strips ads/navigation/boilerplate, returns clean formats. No annotations provided, so description carries full burden and does so effectively.

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?

Front-loaded purpose, followed by concise behavioral explanation, then a clear parameter list. Every sentence adds value; no wasted words.

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?

Given the presence of an output schema, the description covers purpose, behavior, and parameters adequately. No missing critical details for the tool's simple domain.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by explaining each parameter: url (http/https), format (markdown/text/html with default), and include_tables (boolean, default true). Adds meaning beyond schema titles.

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 the tool extracts clean main content of web pages for LLMs/RAG, with a specific verb and resource. It distinguishes from the sibling tool 'screenshot' which captures visual output.

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?

Explains when to use (for getting text content, especially from JS-heavy pages) but does not explicitly mention when not to use. The context with sibling 'screenshot' provides implicit guidance.

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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