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Crawlora MCP

Crawlora MCP

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by Crawlora-org
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JavaScript
Remote

gamerant_article

Fetch a Game Rant article by canonical URL to get structured title, description, timestamps, section, authors, lead image, and body paragraphs.

Instructions

Get Game Rant article content. Returns one Game Rant article by its https://gamerant.com/<slug>/ url. The response has the title, description, publish and update times, section, authors, lead image and body paragraphs. Section hubs, video pages and author pages are rejected as invalid parameters; paywalled is set only if the page declares the article not free.

Input Schema

NameRequiredDescriptionDefault
urlYesCanonical Game Rant article URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.5

TDQS

A4.5/5.0
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 does well: it discloses the response shape (title, description, publish/update times, section, authors, lead image, body paragraphs), the rejection behavior for invalid URL types, and the conditional semantics of the 'paywalled' flag. It omits auth/rate-limit/pagination behavior, so it is not exhaustive.

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 tight sentences, front-loaded with the action, then the return contents, then the input constraints. Every clause adds information with no filler.

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?

No output schema exists, so the description responsibly enumerates the return fields, and it covers the sole input's format and its failure modes. An agent has everything needed to call it correctly and interpret the response.

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 schema already labels the field 'Canonical Game Rant article URL', so baseline is 3. The description adds the concrete URL pattern 'https://gamerant.com/<slug>/', which gives the agent the exact format to construct, exceeding the schema's terse label.

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 ('Get') and resource ('Game Rant article content'), then clarifies it returns exactly one article by URL. This distinguishes it from the sibling listing tools (gamerant_headlines, gamerant_news, gamerant_sections) that return collections rather than a single article.

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?

Explicitly states when-not: 'Section hubs, video pages and author pages are rejected as invalid parameters', which steers the agent away from feeding non-article URLs. It does not, however, name the alternative tools (e.g. gamerant_author, gamerant_sections) to use instead, so routing is left partially 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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