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Glama

Produktdetails

get_product

Ein einzelnes Produkt per ID oder Artikelnummer (SKU) mit Preis, Verfuegbarkeit, Marke, Bild, Grundpreis und Gebinde-Infos.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoArtikel-ID.
skuNoArtikelnummer (falls keine ID bekannt).

TDQS

A3.6/5.0
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only lists return fields and does not mention authentication, rate limits, idempotency, or side effects. As a read-only operation, this is minimally transparent.

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?

The description is a single, well-structured sentence that front-loads the core purpose and includes key return fields without extraneous information.

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?

For a simple retrieval tool with two parameters and no output schema, the description lists relevant return fields and covers usage. Missing behavioral details lower the score slightly, but overall it is mostly complete.

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 descriptions cover both parameters (id and sku) at 100%. The tool description adds 'per ID oder Artikelnummer' which reinforces the schema but does not provide new meaning beyond what is already in the 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 the tool retrieves a single product by ID or SKU, listing specific fields like price, availability, brand, etc. It is well differentiated from siblings such as list_products (list) and check_availability (stock check).

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?

The description implies use when you have a specific product ID or SKU, but it does not explicitly state when not to use it or compare it to alternatives like search_products or get_variants. Usage context is clear but exclusions are missing.

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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Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct function: inventory checks, cart creation, product search, order management, loyalty, support. No overlap among search_products, list_products, and get_product; similarly, list_orders and request_address_change are unique.

Naming Consistency5/5

All tools follow a verb_noun pattern (e.g., check_availability, create_cart, link_account) with consistent snake_case and English verbs, even though the shop is German. No mix of conventions.

Tool Count4/5

19 tools is slightly above the typical 3-15 range for a focused server, but the number is justified by the breadth of shop functionality (product browsing, orders, cart, loyalty, guides, support). Not excessive.

Completeness3/5

Covers core shopping flows: product discovery, cart creation, order tracking, and account linking. However, missing tools for cart modification (add/remove items), order cancellation/returns, and checkout. These gaps may cause agent failures.

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