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AiAgentKarl

ecommerce-mcp-server

get_product_details

Retrieves detailed information for a specific product using its product ID. Includes product name, price, and other attributes.

Instructions

Details zu einem bestimmten Produkt abrufen.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesProdukt-ID (1-194 in der Datenbank)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It only says 'retrieve details' without mentioning read-only nature, required permissions, or any side effects. This is insufficient for a tool with no annotation support.

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?

A single sentence that efficiently conveys the tool's purpose. No wasted words, and the key information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the description does not need to detail return values. However, given no annotations, the description is minimal and lacks behavioral context, making it just adequate for a simple retrieval tool.

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?

The parameter 'product_id' has a description that adds value beyond the schema: 'Produkt-ID (1-194 in der Datenbank)' providing a range constraint. Schema coverage is 100%, so the description enriches the meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Details zu einem bestimmten Produkt abrufen' (retrieve details for a specific product), which clearly identifies the verb and resource. However, it does not differentiate from sibling tools like get_products_by_category, which retrieves multiple products.

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?

No explicit guidance on when to use this tool versus alternatives. Usage is implied: use when you have a specific product ID and need details, but no exclusionary language or alternative tool references are provided.

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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