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Read a web page as markdown

web_read

Use when an agent needs what a page SAYS and not its HTML: it fetches one URL and returns the readable page as markdown - title, description, headings, paragraphs and links with their destinations, plus the canonical URL, language and word count. Boilerplate, scripts and navigation are stripped. Built for going through a list of links one at a time. No API key, no account. $0.01 per call, paid over x402 (USDC).

Input Schema

NameRequiredDescriptionDefault
urlYesThe page to read. http and https only; private and loopback addresses are refused.
linksNoAlso return the outbound links as a list. Defaults to false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations the description carries the full load and does so: it enumerates what the return contains (title, headings, paragraphs, links with destinations, canonical URL, language, word count), states boilerplate/scripts/navigation are stripped, and discloses the cost model ($0.01/call via x402 USDC, no key or account). That is unusually rich disclosure for a read tool.

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?

Front-loaded with the 'Use when' clause and packed with useful detail, with no filler sentences. It is dense and slightly long, but nearly every clause conveys return shape, behavior, or cost.

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 output schema exists, so the description must describe return values, which it does in detail, and the input schema fully covers parameters. Nothing an agent needs to select or call this tool is missing.

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%, so both parameters are already documented, and the description only loosely echoes them (one URL, links with destinations). Baseline 3 is appropriate; it adds little beyond the schema.

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?

States a specific verb and resource plus scope ('fetches one URL and returns the readable page as markdown') and explicitly contrasts with raw HTML, which separates it from a fetch/status-style sibling like web_status.

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?

"Use when an agent needs what a page SAYS and not its HTML" gives an explicit triggering condition, and "Built for going through a list of links one at a time" clarifies the intended pattern. No sibling is named as an alternative and no exclusion cases are spelled out, keeping it below a 5.

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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