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tanevanwifferen

UseScraper MCP Server

scrape

Extract webpage content in text, HTML, or markdown formats. Supports advanced proxy for bypassing bot detection and optional structured data extraction.

Instructions

Scrape content from a webpage using UseScraper API

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to scrape
formatNoFormat to save crawled page content. Strongly recommended to keep as markdown for optimal AI processing (default: markdown)
advanced_proxyNoUse advanced proxy to circumvent bot detection (default: false)
extract_objectNoOptional object specifying data to extract
Behavior2/5

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

With no annotations, the description fails to disclose behavioral traits beyond the API name. It does not mention rate limits, authentication, potential failures, or what happens with the proxy option. The schema provides some param hints, but the description adds no behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, concise and front-loaded. It is appropriately sized for a simple tool, though it could include a bit more detail without becoming verbose.

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 has 4 parameters, nested objects, and no output schema, the description is too minimal. It does not explain what is returned or how the tool behaves in edge cases, leaving significant gaps for an agent.

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 coverage is 100% with each parameter described, so the baseline is 3. The description adds minimal extra meaning beyond stating the API, so it meets the baseline without enhancing understanding.

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 identifies the action (scrape) and resource (webpage), naming the API used (UseScraper). However, 'scrape' is broad and could be more specific about what types of content or how it extracts, but without siblings it's sufficiently clear.

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?

No guidance is provided on when to use this tool versus alternatives or any exclusions. The description only states what it does, leaving the agent to infer usage context.

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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