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wogrill.de Preisvergleich

Produkt auf wogrill.de per ID/URL nachschlagen

lookup_product
Read-onlyIdempotent

Schlaegt ein konkretes Produkt im aktuellen wogrill.de-Katalog per Produkt-ID (Amazon-ASIN bzw. externalId aus search_offers) ODER per Amazon-Produkt-URL nach. Liefert Bestpreis, 30-Tage-Preisstatistik und den Angebots-Link. Genau eines der Felder id/url angeben. Looks up a specific product in the wogrill.de catalog by ID (ASIN/externalId) or Amazon product URL (read-only).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoProdukt-ID: Amazon-ASIN oder externalId.
urlNoAmazon-Produkt-URL (z.B. https://www.amazon.de/dp/B0ABC123DE) — die ASIN wird extrahiert.

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

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 and idempotentHint=true. The description adds return type details (best price, 30-day stats, offer link) but does not significantly extend beyond annotations. No behavioral contradictions.

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 description is bilingual and contains no filler, but the repeated content in German and English might be slightly redundant. However, it is front-loaded with the key action and resource.

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?

Given the simple two-parameter input, annotations covering safety, and output schema likely detailing return fields, the description provides sufficient context about what the tool does and returns. It mentions the key outputs (price, stats, link).

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% and describes both parameters. The description adds critical usage constraint that exactly one of id/url must be provided, and gives an example URL format, which adds meaning beyond schema.

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 clearly states it looks up a specific product by ID or URL, and returns best price, 30-day statistics, and offer link. It specifies the catalog (wogrill.de) and distinguishes from sibling 'search_offers' by focusing on a single product 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?

The description explicitly requires exactly one of id or url, and explains the valid formats (ASIN, externalId, Amazon URL). It implies this tool is for targeted product lookup rather than broad search, but does not explicitly contrast with 'search_offers'.

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

Each tool has a distinct purpose: search_offers finds products by query, 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 clear verb_noun pattern: 'search_offers' and 'lookup_product'. The naming is consistent and predictable.

Tool Count3/5

With only two tools, the server feels minimal for a price comparison service. It covers basic search and lookup, but additional tools like list categories or price alerts could be expected.

Completeness4/5

The tool set covers the essential operations: searching for offers and retrieving detailed product information. Minor gaps exist (e.g., no tool to list all products without a query), but the core workflow is supported.

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