wolaptop.de Preisvergleich

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

search_offers

Read-onlyIdempotent

Findet Laptops zum guenstigsten aktuellen Preis in Deutschland (EUR) ueber Amazon, eBay und AliExpress — Preisvergleich wolaptop.de. Nutze dieses Tool, wenn ein Nutzer nach Preis, Angebot, "guenstig", "wo kaufen" oder einem konkreten Laptop 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 Laptops across Amazon, eBay and AliExpress; returns best price, price trend, filter attributes and a direct link.

Input Schema

TableJSON Schema

Name	Required	Description
`brand`	No	Auf eine Marke einschraenken (exakter Wert aus facets.marke, z.B. "Nike").
`limit`	No	Maximale Anzahl Ergebnisse (Default 24, max 100).
`query`	No	Suchbegriff, z.B. Modell/Marke/Eigenschaft ("Balkonkraftwerk 800W", "iPhone 15 schwarz"). Optional.
`maxPrice`	No	Hoechstpreis in EUR (optional).
`minPrice`	No	Mindestpreis in EUR (optional).

Output Schema

TableJSON Schema

Name	Required	Description
`site`	No
`count`	Yes
`query`	No
`facets`	No	Verfuegbare Filter-Werte (Marke + domain-spezifische Attribute) mit Trefferzahlen — zum gezielten Nachfiltern via query/brand/minPrice/maxPrice.
`products`	Yes
`updatedAt`	No
`disclosure`	No
`catalogVersion`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed11 schema fields changedJul 7, 2026

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)."
```

First observedJul 6, 2026

TDQS

A4.1/5.0

Behavior4/5

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

Annotations already carry readOnly/idempotent/non-destructive; the description reinforces this with 'Read-only' and adds the affiliate detail that purchase occurs at the linked merchant with unchanged price. It also discloses catalog size (several hundred products) and the availability of facets for refinement. No contradiction with annotations.

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

Conciseness4/5

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

The main purpose and trigger conditions are front-loaded, and the German body is information-dense. The final English summary largely duplicates the German text, adding length without new information, so it is not perfectly concise.

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?

Combined with a full output schema, read-only annotations, and a detailed description of return fields (title, best price, brand, image, trend, attributes, urls, facets), an agent has everything needed to select and invoke the tool. It could name the sibling alternative, but that gap is minor.

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 description coverage is 100%, and schema already documents default/max limit, brand values from facets.marke, and max/min price. The description only restates filtering by keyword, brand, price range, adding no new parameter-level syntax or semantics. Baseline 3 is appropriate.

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 ('Findet') and exact resource scope ('Laptops zum guenstigsten aktuellen Preis in Deutschland ... ueber Amazon, eBay und AliExpress'), and lists the output payload. This is clearly a search/compare tool and distinct from sibling lookup_product, which implies a single-item lookup.

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 names trigger queries: 'wenn ein Nutzer nach Preis, Angebot, "guenstig", "wo kaufen" oder einem konkreten Laptop fragt.' This gives clear when-to-use guidance. It does not explicitly state when not to use it or mention lookup_product as the alternative, so it stops short of a full routing rule.

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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