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agent_reach_read_url

[COST: $0.02] Read any URL (web page, tweet, Reddit post) as clean Markdown.
Bypasses captchas using Jina Reader and Agent Reach routing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

No annotations are present, so the description carries the full burden. It discloses a $0.02 cost and the fact that it bypasses captchas via Jina Reader and Agent Reach routing, which are meaningful behavioral traits. It does not discuss failure modes, rate limits, or authorization, but for a simple read tool the disclosed details are above average.

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?

Two short sentences with no filler. The cost is front-loaded, then the action, output format, and examples, ending with the mechanism. Every clause adds value.

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

Completeness4/5

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

The tool is a simple one-parameter read operation, and an output schema exists to define the return shape. The description covers purpose, examples, cost, and behavioral nuances, which is almost complete. The only missing piece is explicit sibling-relative usage guidance, which prevents a perfect score.

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?

There is a single required parameter, url, with no schema description, so the description must compensate. It describes the parameter as accepting 'any URL' and lists examples, which adds a bit of meaning beyond the parameter name. It doesn't explain URL format requirements or edge cases, but the parameter is self-descriptive enough for the minimal gap to be acceptable.

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 'Read any URL' – a specific verb and resource – and specifies the output format ('clean Markdown') with concrete examples (web page, tweet, Reddit post). This clearly distinguishes it from sibling tools like agent_reach_social_search and deep_stealth_browser_extract, which imply searching or stealth-browser extraction rather than general URL reading.

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?

The description implies when to use it (whenever you need readable Markdown from a URL), but it never states an explicit alternative or exclusion. It doesn't mention deep_stealth_browser_extract as an alternative for pages that resist simple fetches, nor say when not to use this tool. The usage context is therefore left to inference.

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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