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 ~150 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

TDQS

A4.1/5.0

Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint true. The description adds context about searching ~150 products, filtering capabilities, return fields (title, best price, brand, price trend, attributes, links), and the read-only affiliate nature. This goes beyond annotations by explaining scope and output structure.

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 informative but includes both German and English versions, making it longer than necessary. It is front-loaded with purpose and usage guidance, but the bilingual repetition reduces conciseness. Could be tightened to a single language.

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?

Given the existence of an output schema, the description does not need to detail return values. It covers parameters, usage guidance, data sources, and constraints. The tool is well-contextualized for a search tool with comprehensive filtering details.

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% with detailed parameter descriptions. The description adds only a high-level summary ('filterbar per Suchbegriff, Marke und Preisspanne'), which does not provide new meaning beyond the schema. Baseline score 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?

The description explicitly states it finds the cheapest Laptops in Germany across Amazon, eBay, and AliExpress. It clearly distinguishes from the sibling 'lookup_product' by focusing on searching multiple offers with filtering. The verb 'search' is specific and resource 'offers' is well-defined.

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 explicit when-to-use scenarios: when a user asks for price, offer, 'cheap', 'where to buy', or a specific laptop. However, it does not mention when not to use or explicitly contrast with the sibling tool, leaving some ambiguity.

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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TDQS

A4.2/5.0

Disambiguation5/5

The two tools have clearly distinct purposes: search_offers performs broad searches for laptops with multiple filters, while lookup_product retrieves details for a specific product by ID or URL. There is no overlap in functionality.

Naming Consistency5/5

Both tool names follow a consistent verb_noun pattern using snake_case: 'lookup_product' and 'search_offers'. This makes the action and target immediately clear.

Tool Count3/5

With only two tools, the server is minimal but functional for basic price comparison. The tools cover search and detail lookup, which is reasonable for a focused domain, though additional tools like category listing or price history could enhance completeness.

Completeness4/5

The server covers the essential workflows: finding products by search and retrieving detailed price info for a specific product. Minor gaps like lacking a tool to compare multiple products or view trending items, but core operations are present.

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