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obhor

outmate-gtm-router

by obhor

Read a webpage with Jina

jina_read_url
Read-onlyIdempotent

Extract readable content from a public webpage URL as LLM-friendly Markdown or text. Use after a search finds a relevant source needing detailed inspection.

Instructions

Extract the readable content of one specific public webpage as LLM-friendly Markdown/text. Use this tool when the user supplies a URL or after tavily_search has found a relevant source that needs detailed inspection. This is a page-reading tool, not a search engine. It only accepts public HTTP/HTTPS URLs; never use it for localhost, private networks, or authenticated/private pages.

Input Schema

NameRequiredDescriptionDefault
urlYesPublic HTTP or HTTPS webpage URL to read.

Output Schema

NameRequiredDescriptionDefault
urlYes
titleYes
contentYes
providerYes
truncatedYes
descriptionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds real value beyond that by enumerating the input domains it refuses (localhost, private networks, authenticated pages), which the agent cannot infer from annotations alone. It stops short of mentioning rate limits, extraction failures, or truncation for huge pages.

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 sentences, each doing distinct work: what it returns, when to call it, and what it rejects. The output format and the tool category come first, so the agent gets the essential distinction immediately.

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?

One required parameter, a full output schema (so return values need no prose), and annotations covering safety. The description supplies exactly the missing pieces: usage trigger and URL admissibility rules. Nothing needed to call it correctly is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single 'url' parameter, so baseline would be 3. The description nevertheless adds constraints beyond the schema's 'Public HTTP or HTTPS webpage URL' by explicitly prohibiting localhost, private-network and authenticated URLs, tightening the meaning of a valid value.

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: 'Extract the readable content of one specific public webpage as LLM-friendly Markdown/text.' It explicitly disclaims search ('This is a page-reading tool, not a search engine'), which cleanly separates it from the sibling tavily_search.

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?

Gives both triggering conditions ('when the user supplies a URL' or 'after tavily_search has found a relevant source that needs detailed inspection') and hard exclusions (localhost, private networks, authenticated/private pages). The alternative is named and the condition selecting it is spelled out.

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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