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wokonsole.de Preisvergleich

Spielekonsolen in Deutschland zum Bestpreis finden (Amazon, eBay, AliExpress)

search_offers
Read-onlyIdempotent

Findet Spielekonsolen zum guenstigsten aktuellen Preis in Deutschland (EUR) ueber Amazon, eBay und AliExpress — Preisvergleich wokonsole.de. Nutze dieses Tool, wenn ein Nutzer nach Preis, Angebot, "guenstig", "wo kaufen" oder einem konkreten Spielekonsole fragt. Durchsucht den vollen Katalog (mehrere hundert Produkte), filterbar per Suchbegriff, Marke und Preisspanne. Liefert je Produkt: Titel, Bestpreis, Marke, Bild, 30-Tage-Preistrend (priceStats.isLowest30d = aktuell guenstigster Stand), domain-spezifische Attribute (attributes, z.B. Leistung/Speicher/Farbe), einen direkten Kauf-Link (url) und eine zitierfaehige Produktseite (detailUrl). Die Antwort enthaelt zusaetzlich facets (verfuegbare Filterwerte) zum Verfeinern. Read-only, Kauf beim verlinkten Haendler (Affiliate, Preis unveraendert). Finds the cheapest current price in Germany for Spielekonsolen across Amazon, eBay and AliExpress; returns best price, price trend, filter attributes and a direct link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandNoAuf eine Marke einschraenken (exakter Wert aus facets.marke, z.B. "Nike").
limitNoMaximale Anzahl Ergebnisse (Default 24, max 100).
queryNoSuchbegriff, z.B. Modell/Marke/Eigenschaft ("Balkonkraftwerk 800W", "iPhone 15 schwarz"). Optional.
maxPriceNoHoechstpreis in EUR (optional).
minPriceNoMindestpreis in EUR (optional).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteNo
countYes
queryNo
facetsNoVerfuegbare Filter-Werte (Marke + domain-spezifische Attribute) mit Trefferzahlen — zum gezielten Nachfiltern via query/brand/minPrice/maxPrice.
productsYes
updatedAtNo
disclosureNo
catalogVersionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed11 schema fields changed
    • addedInput schema / properties / brand
      Added value: +{
      +  "description": "Auf eine Marke einschraenken (exakter Wert aus facets.marke, z.B. \"Nike\").",
      +  "type": "string"
      +}
    • changedInput schema / properties / limit / description
      Previous value: -"Maximale Anzahl Ergebnisse (Default 24, max 50)."New value: +"Maximale Anzahl Ergebnisse (Default 24, max 100)."
    • changedInput schema / properties / limit / maximum
      Previous value: -50New value: +100
    • addedInput schema / properties / maxPrice
      Added value: +{
      +  "description": "Hoechstpreis in EUR (optional).",
      +  "type": "number"
      +}
    • addedInput schema / properties / minPrice
      Added value: +{
      +  "description": "Mindestpreis in EUR (optional).",
      +  "type": "number"
      +}
    • changedInput schema / properties / query / description
      Previous value: -"Optionaler Suchbegriff — filtert nach Titel, Marke oder Haendler."New value: +"Suchbegriff, z.B. Modell/Marke/Eigenschaft (\"Balkonkraftwerk 800W\", \"iPhone 15 schwarz\"). Optional."
    • addedOutput schema / properties / facets
      Added value: +{
      +  "description": "Verfuegbare Filter-Werte (Marke + domain-spezifische Attribute) mit Trefferzahlen — zum gezielten Nachfiltern via query/brand/minPrice/maxPrice.",
      +  "type": "array"
      +}
    • addedOutput schema / properties / products / items / properties / attributes
      Added value: +{
      +  "description": "Domain-spezifische Filter-Attribute, z.B. {farbe, watt, speicher, reichweite}.",
      +  "type": "object"
      +}
    • addedOutput schema / properties / products / items / properties / brand
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / products / items / properties / detailUrl
      Added value: +{
      +  "description": "Zitierfaehige Produktseite mit Preisverlauf.",
      +  "type": "string"
      +}
    • addedOutput schema / properties / products / items / properties / priceStats / description
      Added value: +"30-Tage-Preisstatistik (avg/min/max, isLowest30d)."
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, and the description adds meaningful behavioral context: it searches the full catalog, returns product fields (best price, trend, attributes, links), includes facets for refinement, and notes the affiliate purchase model. No contradiction with annotations; the only omission is lack of details about limits or edge cases, which is minor.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and front-loaded with purpose, but it repeats the core functionality nearly verbatim in German and English ('Findet Spielekonsolen...' and 'Finds the cheapest current price...'), adding unnecessary length. Each sentence generally earns its place, but the duplication prevents a higher score.

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?

The description covers the tool's scope, usage trigger, output contents, filtering capabilities, and read-only nature, and the presence of an output schema relieves the need to detail return structures. It lacks explicit guidance on no-result behavior or how to combine facets with repeated calls, but these are minor gaps for a search tool.

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%, so the schema already documents all five parameters in detail. The description adds only a general statement that results are filterable by search term, brand, and price range, which roughly maps to query, brand, minPrice, and maxPrice. It does not add meaningful semantics beyond the schema, and the schema examples ('Balkonkraftwerk', 'iPhone') are inconsistent with the console-focused description, which could confuse an agent.

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 names a specific verb and resource ('Findet Spielekonsolen zum guenstigsten aktuellen Preis in Deutschland') and specifies the marketplaces (Amazon, eBay, AliExpress). The usage trigger 'Nutze dieses Tool, wenn ein Nutzer nach Preis, Angebot, ... fragt' clearly differentiates it from the sibling lookup_product, which is about product lookup rather than price comparison.

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?

The description provides an explicit when-to-use condition: when a user asks for price, offer, 'guenstig', 'wo kaufen', or a specific console. However, it does not mention when not to use the tool or explicitly contrast it with lookup_product, so it stops short of a full 5.

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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