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arachne_extract

Automatically detect and extract content from any URL, including web pages, audio, video, PDFs, images, and YouTube. Output in JSON, Excel, CSV, PowerPoint, or Markdown.

Instructions

Universal extract — auto-detects format. Works with web pages, audio, video, PDFs, images, YouTube.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to extract (web, audio, video, PDF, image, YouTube)
formatNoOutput format: json (default), xlsx, csv, pptx, mdjson
Behavior2/5

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

No annotations and description only mentions auto-detection and supported formats, lacking details on side effects, auth needs, or error behavior.

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?

Extremely concise, one sentence with a list of formats, front-loaded with purpose, no wasted words.

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?

Adequate for a simple tool, but lacks information about the returned data structure or format, which would help an agent understand output expectations.

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% so schema already describes both parameters. Description adds 'auto-detects format' but doesn't meaningfully enhance parameter understanding beyond schema.

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

Purpose4/5

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

Clearly states 'Universal extract' with auto-detection and lists supported formats (web, audio, video, PDFs, images, YouTube), distinguishing it from sibling tools like arachne_browser_extract.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus siblings like arachne_browser_extract or arachne_scrape. Usage context is only implied by supported formats.

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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