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fetch_website_nested

Crawl websites with nested URL navigation to extract and convert content into clean markdown format for structured data analysis.

Instructions

Fetch website content with nested URL crawling and convert to clean markdown

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe starting URL to fetch and crawl
maxDepthNoMaximum depth to crawl (default: 2)
maxPagesNoMaximum number of pages to fetch (default: 50)
sameDomainOnlyNoOnly crawl URLs from the same domain (default: true)
excludePatternsNoRegex patterns for URLs to exclude
includePatternsNoRegex patterns for URLs to include (if specified, only matching URLs will be processed)
timeoutNoRequest timeout in milliseconds (default: 10000)
Behavior2/5

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 mentions crawling and markdown conversion but fails to disclose critical traits like rate limits, authentication needs, error handling, or what happens when limits (maxDepth/maxPages) are reached. The description is too vague about operational 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?

The description is a single, efficient sentence that front-loads the core functionality. Every word earns its place, with no redundant or vague phrasing, making it easy to parse quickly.

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

Completeness2/5

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

Given the tool's complexity (7 parameters, crawling behavior) and lack of annotations and output schema, the description is insufficient. It omits details on return format, error cases, performance implications, and practical usage constraints, leaving significant gaps for an AI agent to operate effectively.

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 fully documents all 7 parameters. The description adds no additional meaning beyond implying crawling behavior, which is already suggested by parameter names like 'maxDepth' and 'sameDomainOnly.' Baseline 3 is appropriate as the schema does the heavy lifting.

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?

The description clearly states the action ('fetch website content with nested URL crawling') and transformation ('convert to clean markdown'), providing a specific verb+resource combination. It distinguishes from the sibling tool 'fetch_website_single' by specifying 'nested URL crawling,' though it could be more explicit about the distinction.

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?

The description provides no guidance on when to use this tool versus the sibling 'fetch_website_single' or other alternatives. It lacks context about scenarios where nested crawling is preferred over single-page fetching, such as for multi-page documentation or site-wide content extraction.

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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