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bidouilles

cloudflare-crawl-mcp

by bidouilles

scrape_url

Fetch a single web page by URL and extract its content as Markdown, ready for reading or LLM processing.

Instructions

Fetch a single web page and return its content as Markdown.

This is the primary tool for reading web content. Use this when you know which URL contains the information you need.

Best for: Reading documentation pages, articles, blog posts, API references, or any single page where you know the URL.

Not recommended for: When you don't know which page has the info (use map_url first), or when you need content from many pages (use crawl_url).

Args: url: The URL to fetch. render: If true (default), renders JavaScript with a headless browser. Set to false for faster fetch of static pages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
renderNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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. It discloses the JavaScript rendering behavior via the render flag and notes the performance tradeoff, adding behavioral detail beyond the schema.

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 well-structured with a clear purpose statement, best-for/not-recommended sections, and an Args list. Every sentence adds useful context without redundancy.

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?

The tool's behavior, use cases, and parameter options are fully described. The output is described as Markdown content, and the presence of an output schema (not shown here) would further define the return value, so the description is sufficiently complete.

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?

The schema has zero description coverage, but the 'Args' section in the description explains both parameters. It defines 'url' as the URL to fetch and explains 'render' including its default value and effect on performance.

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's action: 'Fetch a single web page and return its content as Markdown.' It identifies the specific resource (web page) and distinguishes itself from siblings by noting when to use it versus map_url and crawl_url.

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 provides explicit usage guidance: 'Use this when you know which URL contains the information you need.' It also gives clear exclusions and alternatives, saying to use map_url when the URL is unknown and crawl_url for multiple pages.

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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