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scrape

Fetch a page and return clean text.

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": "scrape"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesPublic URL to fetch

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / url
      Added value: +{
      +  "description": "Public URL to fetch",
      +  "type": "string"
      +}
    • addedInput schema / required
      Added value: +[
      +  "url"
      +]
  2. Added

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and discloses almost nothing: no mention of JavaScript rendering, redirect following, rate limits, content-size caps, or failure behavior. The only behavioral hint is 'clean text' (HTML stripped) and 'Public URL' (no authenticated or internal targets), which is far short of what a mutation-free network fetch needs.

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?

One short sentence, front-loaded with the action and closing with the return value; zero filler. It is efficient but so terse that the brevity comes at the cost of the behavioral detail the tool lacks elsewhere.

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?

For a network-fetch tool with no annotations and no output schema, the description should at least characterize the return (plain text only vs. metadata), handling of non-HTML content, and failure modes. None of that is present, so an agent must guess how the tool behaves on JS-heavy pages, PDFs, or errors.

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% and the only parameter's description ('Public URL to fetch') already matches the description's wording, so nothing is added. For a single fully documented parameter, the baseline of 3 applies.

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 pairs a specific verb (fetch) with a specific resource (a page) and states the return shape (clean text), which is clearer than the bare name 'scrape'. However, it never distinguishes itself from siblings such as crawl, meta_scrape, read, extract, or html_table, so an agent cannot tell from the text which scraping tool fits a given task.

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 when-to-use guidance, no exclusion for when to prefer crawl or meta_scrape, and no stated prerequisites. The single word 'Public' hints at a scope restriction but is not framed as a usage rule.

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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