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rendex_extract

Extract clean readable content from webpages as Markdown, JSON, or HTML. Handles JavaScript-rendered SPAs, stripping ads and navigation to provide article body, title, byline, and excerpt for LLM usage.

Instructions

Extract clean reader-mode content from any webpage as Markdown, JSON, or HTML. Runs the same Chromium render pass as a screenshot, so it captures content after JavaScript runs — handles SPAs that fetch-only readers miss. Strips nav, ads, and boilerplate, returning the article body plus title, byline, and excerpt. Great for feeding page content to an LLM, summarization, or RAG ingestion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe webpage URL to extract readable content from.
extractFormatNoOutput shape — markdown (default, LLM-friendly prose), json (structured fields: title/byline/excerpt/siteName/length), or html (cleaned reader-mode HTML).markdown
waitUntilNoPage readiness event. networkidle2 (default) is best for most sites. Use domcontentloaded for speed, networkidle0 for completeness.networkidle2
timeoutNoMaximum seconds to wait for page load (5-60). Cloudflare has a 60s hard cap.
deviceNoDevice preset that sets viewport, scale factor, and user agent in one shot. E.g. 'iphone_15' to extract the mobile version of a page.
blockAdsNoBlock ads and trackers before extraction
blockCookieBannersNoHide common cookie/consent walls (GDPR/CCPA banners) before extraction. A curated selector list, lighter than custom hideSelectors.
hideSelectorsNoCSS selectors to hide (display:none) before extraction. E.g. ['.modal', '#newsletter-popup'] to remove overlays. Max 50 selectors.
Behavior4/5

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

No annotations are provided, so the description fully bears the burden. It discloses that the tool runs a full Chromium render, captures after JavaScript execution (important for SPAs), strips nav/ads/boilerplate, and returns structured content. It also mentions Cloudflare's 60s hard cap on timeout. Missing explicit disclosure of potential failure cases or resource usage.

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 concise (5 sentences), front-loads the main action, and avoids unnecessary details. Every sentence adds value and contributes to clarity.

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

Completeness3/5

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

With no output schema, the description should fully explain return values. It mentions returning article body plus title, byline, and excerpt but does not specify how these vary across formats (markdown, HTML). It also lacks details on error handling or behavior on failure, leaving some gaps.

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 coverage is 100% with detailed descriptions for all 8 parameters, so baseline is 3. The description does not add significant parameter-level detail beyond what is already in the schema, though it provides context for how parameters like device and waitUntil affect rendering.

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 reader-mode content from any webpage, specifying output formats (Markdown, JSON, HTML) and the rendering process. It distinguishes from the sibling tool (screenshot) by focusing on content extraction rather than visual capture.

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 explicitly recommends the tool for feeding page content to LLMs, summarization, or RAG ingestion. It contrasts with fetch-only readers that miss SPAs, implying when this tool is preferable. However, it does not explicitly state when not to use it or provide direct comparison with the sibling 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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