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Scrape Web Page

supadata_scrape
Read-onlyIdempotent

Fetch a single web page and return its main content as Markdown, along with the page title, description and the links it contains. Use this to read or summarize a specific URL. To find which pages exist on a site, use supadata_map; to fetch many pages at once, use supadata_crawl. Costs 1 credit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesFull URL of the web page, including https://. Use a URL you know exists; to find pages on a site, use supadata_map.
langNoPreferred page language as an ISO 639-1 code, e.g. "en", for sites that serve several languages.
noLinksNotrue leaves out the list of links found on the page.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / lang / description
      Added value: +"Preferred page language as an ISO 639-1 code, e.g. \"en\", for sites that serve several languages."
    • addedInput schema / properties / noLinks / description
      Added value: +"true leaves out the list of links found on the page."
    • addedInput schema / properties / url / description
      Added value: +"Full URL of the web page, including https://. Use a URL you know exists; to find pages on a site, use supadata_map."
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds real value beyond that: the credit cost (1 credit) and the shape of the returned content (Markdown, title, description, links). No notable gap remains, though return format details are still fairly high-level.

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?

Three tightly packed sentences: what it returns, when to use it, and the sibling alternatives plus cost. Front-loaded with the primary capability and zero filler.

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?

With no output schema, the description carries the return-value burden and does so by naming Markdown content, title, description and links. Combined with the fully documented input schema and the safety annotations, an agent has everything needed to invoke it correctly.

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 all three parameters are already documented in the schema, including the noLinks-to-links relationship and the lang ISO code. The description only restates that links are returned and does not add syntax or edge-case detail beyond the schema, so the baseline 3 applies.

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?

Specific verb (Fetch) and resource (single web page) with an explicit statement of what is returned (main content as Markdown, title, description, links). It clearly distinguishes itself from supadata_map and supadata_crawl by naming both siblings.

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?

Explicitly states the use case ('read or summarize a specific URL') and routes the agent to alternatives with their selecting conditions: supadata_map for discovering pages, supadata_crawl for bulk fetching. Nothing is left to inference.

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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