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Get VR product deals and prices

get_vr_deals
Read-only

Fetch VR.org's curated VR/AR/XR product picks by section, with prices, badges, and retailer links; optionally filter to headsets, glasses, accessories, haptics, or gaming hardware.

Instructions

Returns VR.org's current curated product picks in five sections (headsets, AR and XR glasses, accessories, haptics and body tracking, gaming hardware) with prices, badges, and retailer links. Optionally filter to one section.

Input Schema

NameRequiredDescriptionDefault
sectionNoOptional section filter, e.g. 'headsets'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields 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"
    • removedInput schema / additionalProperties
      Removed value: -false
  2. Changed1 schema field changedv0.1.3
    • addedInput schema / properties / section / maxLength
      Added value: +200
  3. First observedv0.1.2

TDQS

A4.1/5.0
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 the safety profile is covered. The description adds useful return-shape context (prices, badges, retailer links) but says nothing about data freshness, whether the curated set can be empty, or any rate limits on this external-facing call.

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: the return content and section list come first, the optional filter second. No filler, nothing repeated from the title, and every clause earns its place.

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 single optional-parameter read tool with no output schema, the description covers what is returned (five sections with prices, badges, retailer links) and how to narrow it. Nothing an agent needs to invoke it correctly is missing.

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% so the baseline is 3, but the description goes beyond the schema by enumerating the five valid section values (headsets, AR and XR glasses, accessories, haptics and body tracking, gaming hardware), whereas the schema only offers 'e.g. headsets'. This meaningfully helps the agent pick a legal value.

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 (Returns) and resource (VR.org's current curated product picks) and enumerates the five sections it covers, which lets an agent separate it from siblings like compare_vr_headsets or get_vr_trending without opening any schema.

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?

'Optionally filter to one section' implies when the parameter is used, but there is no explicit guidance on when to prefer this tool over compare_vr_headsets for headset pricing or when not to call it. Usage is implied rather than stated.

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