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crawl4ai-local-for-windows

crawl4ai-local-for-windows

by fix-a-lot
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

crawl_markdown

Crawl any URL and receive the page content as clean markdown, enabling direct use for AI analysis and data extraction.

Instructions

주어진 URL을 크롤링해서 마크다운으로 반환한다.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "crawl_markdown"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full disclosure burden. It mentions crawling and markdown output but does not reveal network side effects, rate limits, following redirects, failure modes (unreachable URLs, non-HTML content), or whether it executes JavaScript. This leaves important behavioral traits undisclosed.

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?

A single, concise sentence fully states the action, the object, and the return format. There is no wasted text or irrelevant detail.

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?

For a simple one-parameter tool this is minimally viable, but it lacks context about the expected markdown structure (full page vs filtered content), input URL restrictions, or output schema-level details beyond what the output schema likely provides. The existence of a sibling tool also suggests usage guidance would have made the description more complete.

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?

The schema has one `url` parameter with 0% description coverage. The description references 'given URL' but adds no extra meaning beyond the obvious fact that `url` is the input. Since the parameter is self-explanatory, this is adequate but adds little beyond the schema.

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 states a specific action ('crawl') on a specific resource (the given URL) and a clear output format (markdown). This naturally distinguishes it from the sibling tool 'crawl_screenshot', so an agent can immediately tell the two apart.

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?

There is no guidance about when to use this tool versus crawl_screenshot or any other alternative. The description only states what it does, not the conditions under which an agent should prefer it.

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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