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Read a web page as Markdown

read_url
Read-only

Fetch a public http/https URL and return its main content as clean Markdown — ideal for giving an agent readable web content for research or RAG. Private/internal hosts are blocked.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe http/https URL to read.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already carry readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds one genuinely useful behavioral constraint — 'Private/internal hosts are blocked' — which the agent needs to predict failures. It stops there, though: no disclosure of timeouts, redirect handling, JS-heavy page behavior, or content-size limits, which are relevant for an open-world fetch 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?

Two tight sentences with zero filler. The purpose is front-loaded in the first sentence and the blocking constraint follows in the second. Efficient and well-ordered, though the use-case phrase could arguably be trimmed without loss.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Adequate for a single-parameter, low-complexity fetch tool: schema covers the URL, annotations cover safety, and the description covers purpose plus the private-host constraint. What's missing is sibling differentiation (scrape_page does an overlapping job) and edge-case behavior for dynamic or large pages, which a research/RAG use case is likely to encounter. No output schema exists, so return-format nuance could also be spelled out more.

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% and the url parameter is already documented as 'The http/https URL to read.' The description adds marginal value by clarifying only public URLs work and that private/internal hosts are rejected, which supplements the schema slightly. Baseline 3 is appropriate since the schema does the heavy lifting and the description adds only minor extra meaning.

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?

States a specific verb (fetch), resource (public http/https URL), and output format (clean Markdown). The 'main content' phrasing signals extraction/deduplication, which distinguishes it from raw-fetch tools. However, it does not explicitly name its nearest sibling scrape_page, so an agent must infer the differentiation rather than being told.

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

Usage Guidelines3/5

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

Gives a clear use case ('ideal for giving an agent readable web content for research or RAG'), which implies when to use it. But it never says when not to use it or names alternatives such as scrape_page for structured extraction or url_to_pdf for PDF output — the sibling set contains several web-fetching tools with no routing guidance.

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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