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Crawlora MCP

Crawlora MCP

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pcmag_article

Retrieve PCMag article or review content by canonical URL, including title, authors, publication time, lead image, and body paragraphs. Hub and author pages return errors.

Instructions

Get PCMag article or review content. Returns a PCMag article or product review by canonical pcmag.com url, such as /news/<slug> or /reviews/<slug>. The response has title, description, publication time, section label, authors, lead image and body paragraphs. Hub pages, author pages and pages without a readable body return an upstream error.

Input Schema

NameRequiredDescriptionDefault
urlYesCanonical PCMag article or review URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.5

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and discloses the response fields (title, description, publication time, section label, authors, lead image, body paragraphs) plus the failure condition for non-article pages. It omits auth requirements, rate limits, and non-article error variants, keeping it below 5.

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 purpose, then input format, then return shape and error behavior — logically ordered with no filler. The enumerated field list is slightly long but earns its place by replacing the absent output schema.

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?

With no output schema and no annotations, the description fully compensates: it explains the returned fields, the accepted URL forms, and the upstream error cases. An agent has everything needed to call and interpret the tool correctly.

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% and the single url parameter is fully documented, so the baseline is 3. The description adds value by giving concrete URL patterns (/news/<slug>, /reviews/<slug>) and pinning the meaning to canonical pcmag.com URLs, exceeding the schema baseline.

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+resource ('Get PCMag article or review content') and clarifies it returns a single article or product review fetched by canonical URL. It contrasts with content listings implicitly but never names siblings like pcmag_news or pcmag_headlines to fully disambiguate.

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?

Gives clear input guidance (canonical pcmag.com URLs such as /news/<slug> or /reviews/<slug>) and states which pages fail (hub pages, author pages, pages without a readable body return an upstream error). It defines valid/invalid usage without explicitly naming an alternative tool, so it stops short of 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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