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Get a VR.org article by slug

get_vr_article
Read-only

Retrieve metadata including title, author, date, category, tags, snippet, and canonical URL for a specific VR.org article by providing its slug.

Instructions

Returns metadata (title, author, date, category, tags, snippet) and the canonical URL for a single VR.org original article identified by its slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe article slug, e.g. 'why-vr-is-the-perfect-horror-machine'.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false; the description adds value by specifying exactly what is returned (metadata fields and URL) and implies non-destructive read behavior.

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?

A single sentence that efficiently communicates the tool's function and output without unnecessary words.

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?

For a simple tool with one parameter and no output schema, the description lists all returned fields (title, author, date, etc.), making it complete enough for an agent to understand the response.

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 coverage is 100% and already describes the slug parameter; the tool description adds no new semantic information beyond what is in the schema, meeting the baseline.

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 clearly states the tool returns metadata (title, author, date, category, tags, snippet) and canonical URL for a specific article by slug, distinguishing it from siblings like compare_vr_headsets or search_vr_news.

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 use when retrieving metadata for a specific article by slug, but provides no explicit guidance on when not to use or alternatives, missing a clear usage context.

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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