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Get trending VR topics

get_vr_trending
Read-only

Discover which VR, AR, and XR topics are trending in VR.org's aggregated feed to monitor current industry conversations and reader interests.

Instructions

Returns the topics currently trending across VR.org's aggregated VR / AR / XR feed.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.5.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observedv0.1.2

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so safety and network behavior are covered. The description adds only that the data comes from an aggregated feed; it says nothing about how 'trending' is computed, the time window, ordering, or result size, which are the traits that actually matter for a zero-parameter feed tool.

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?

One sentence, front-loaded with the verb and the resource, with zero filler or redundancy. Every word earns its place.

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

Completeness3/5

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

With no output schema and no parameters, the description is the only source of information about the return shape, yet it does not say how many topics are returned, how they are ranked, or over what period 'trending' is measured. It is minimally adequate but leaves the agent guessing about the most operationally relevant details.

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?

The tool takes no parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The single sentence neither contradicts nor needs to supplement an empty schema.

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?

Names a specific verb (Returns) and resource (topics currently trending across the aggregated VR/AR/XR feed), which is meaningfully distinct from sibling list-style tools like get_top_vr_games or get_vr_events. It does not, however, explicitly contrast itself with those siblings, so an agent must infer the 'trending vs. top-ranked' distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to choose this over get_top_vr_games, get_top_vr_apps, or search_vr_news, nor any exclusions or prerequisites. It simply describes the output content with no usage framing at all.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.