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MCPFax Web Extract

Read a web page as clean text

read_page

Fetch a URL and return its readable text with scripts, styles, navigation and markup stripped, plus the title, description, site name and publication date from the page's own metadata. Use whenever you need the contents of a page rather than a search result about it. Output is capped so it fits a prompt — raise maxChars if you need more. JavaScript is not executed, so a page that renders entirely client-side returns its shell, and the character count tells you when that happened. A site that blocks automated clients is reported honestly and is NOT charged. Costs $0.008 USDC per call via x402 on Base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesAbsolute http(s) URL of the page to read.
maxCharsNoMaximum characters of text to return. Default 12000, maximum 60000.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / maxChars / examples
      Added value: +[
      +  "12000"
      +]
    • addedInput schema / properties / url / examples
      Added value: +[
      +  "https://en.wikipedia.org/wiki/Web_scraping"
      +]
  2. First observed

TDQS

A4.5/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full behavioral burden. It richly discloses multiple non-obvious traits: JavaScript is not executed, client-side rendered pages return their shell, blocked sites are reported honestly and not charged, and output is capped. This is exemplary transparency.

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?

Every sentence earns its place: the first states the core action and result, and the rest covers usage context, limits, behavioral caveats, and cost. The most important information is front-loaded, and there is no 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?

No annotations or output schema exist, yet the description sufficiently covers input expectations, output content and limits, failure behavior, and cost. For a two-parameter read tool, nothing essential is missing for an agent to select and 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 the baseline is 3. The description adds practical context around maxChars by explaining why it exists ('Output is capped so it fits a prompt — raise maxChars if you need more'), but the schema already documents both parameters adequately.

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 opens with a specific verb and resource — 'Fetch a URL and return its readable text' — and enumerates what is stripped and what metadata is returned. This clearly distinguishes the tool from general search or raw HTTP retrieval.

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

Usage Guidelines4/5

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

The description gives explicit guidance on when to use the tool: 'Use whenever you need the contents of a page rather than a search result about it.' It does not explicitly name sibling alternatives or state when not to use them, but the intended context is clear.

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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