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pcmag_article

Retrieve PCMag articles and product reviews by submitting a canonical URL. Returns article metadata and body paragraphs in clean JSON for direct use.

Instructions

Get PCMag article or review content. Returns public PCMag article or product-review metadata and body paragraphs from a canonical article URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesCanonical PCMag article or review URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.5

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully indicates the operation is a read ('Get') and that content is 'public', and it discloses the return shape (metadata and body paragraphs). It does not mention failure modes, rate limits, or URL format expectations, but for a simple content fetch this is a reasonable disclosure.

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 sentences with no filler: the first states the action and resource, the second details the return content and input requirement. There is minor repetition of 'PCMag article', but every sentence earns its place.

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?

For a one-parameter read tool with no annotations and no output schema, the description adequately covers the input and the return content. It does not explain error behavior or explicitly distinguish itself from sibling article tools, but those are minor gaps given the low complexity.

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 description coverage is 100%, and the schema already documents 'url' as 'Canonical PCMag article or review URL'. The description repeats this canonical-URL requirement but adds no new format, validation, or edge-case guidance, so it meets the baseline without exceeding it.

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?

The description uses a specific verb and resource ('Get PCMag article or review content') and clearly states what is returned: metadata and body paragraphs. It is distinguishable from sibling pcmag_author, pcmag_headlines, pcmag_news, and pcmag_sections tools, though it does not explicitly name them.

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 phrase 'from a canonical article URL' implies when to use this tool, but there is no explicit when-not-to-use guidance or comparison to sibling pcmag tools. An agent can infer the use case, but the description leaves the routing 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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