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scrape_url

Extract content from web URLs in markdown, HTML, or text formats for data collection and analysis.

Instructions

Scrape and extract content from any URL via Firecrawl.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to scrape
formatsNoOutput formats: markdown, html, text
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'scrape and extract content' but lacks details on rate limits, authentication needs, potential destructive effects (e.g., if scraping triggers server-side actions), or output behavior. This is inadequate for a tool that interacts with external URLs.

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 directly states the tool's purpose without unnecessary words. It is front-loaded and every part earns its place, making it highly concise and well-structured.

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 complexity of scraping URLs (which involves external interactions) and the absence of annotations and output schema, the description is incomplete. It does not cover error handling, content limitations, or return formats, leaving significant gaps for the agent to understand the tool's behavior.

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 the parameters ('url' and 'formats'). The description adds no additional meaning beyond what the schema provides, such as examples or constraints on URL types. With high schema coverage, the baseline score of 3 is appropriate.

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 tool's purpose with specific verbs ('scrape and extract content') and resource ('from any URL via Firecrawl'), making it immediately understandable. However, it does not explicitly differentiate from sibling tools like 'web_search' or 'github_file', which might have overlapping functionality for URL-based content retrieval.

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 alternatives. It does not mention sibling tools such as 'web_search' (which might search web content) or 'github_file' (which might extract from GitHub URLs), leaving the agent without context for tool selection.

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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