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Crawlbase MCP

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by crawlbase

crawl_markdown

Crawl a URL and extract clean markdown content. Optionally persist the original page in cloud storage and receive an RID for later access.

Instructions

Crawl a URL and extract clean markdown content. Pass store=true to persist the original page in Cloud Storage and return only the RID + metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL to crawl
storeNoPush the result to Crawlbase Cloud Storage. When true, returns only RID + metadata; retrieve later with storage_get (use as=markdown to convert).
deviceNoDevice type for crawling
user_agentNoCustom user agent string
Behavior3/5

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

With no annotations, the description carries full burden. It discloses main behavior (crawl → markdown) and the store option's alternative return. However, it omits error handling, rate limits, or response format details.

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?

Two sentences, direct and front-loaded. Every word is necessary; no fluff or redundancy.

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?

The tool has 4 parameters and no output schema. Description explains the two operational modes but does not specify the return structure for the default mode (e.g., the markdown content format) or error cases. It's adequate but not thorough.

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 descriptions cover all 4 parameters (100% coverage), so baseline is 3. The description rephrases the store parameter's behavior but adds no new meaning beyond the schema for url, device, or user_agent.

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 it crawls a URL and extracts clean markdown content, specifying both verb and resource. It implies differentiation from siblings like crawl (likely raw) and crawl_screenshot by focusing on markdown output.

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

Usage Guidelines3/5

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

The description explains the store parameter's effect on behavior, but lacks explicit guidance on when to use this tool versus siblings (e.g., crawl for raw HTML). No disclaimers or alternatives are mentioned.

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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