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ludodelot

Amazon Product Research MCP Server

by ludodelot

get_product

Retrieve comprehensive details for any Amazon product using its unique product ID.

Instructions

Get detailed information about an Amazon product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesThe unique ID of the product.
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'detailed information,' without clarifying read-only behavior, output format, error handling, authentication needs, or whether the product data may be stale or partial.

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, front-loaded sentence with no filler or redundancy. Every word contributes to stating the tool's basic purpose, and it is appropriately sized for the tool's simplicity.

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

Completeness2/5

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

The tool is simple with only one parameter, but there is no output schema and no annotations. The phrase 'detailed information' is vague and does not tell an agent what fields or behaviors to expect, leaving an important gap for a tool that should return a product's data.

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?

The input schema fully documents product_id with a clear description, so high schema coverage earns the baseline score. The tool description adds only the Amazon context and does not contribute additional parameter meaning beyond the schema.

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 clearly states a specific verb ('Get') and resource ('Amazon product'), making the core action obvious. It implies single-item retrieval versus the sibling's search-oriented behavior, but does not explicitly differentiate by naming the alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidance is provided. The description does not say when to use this tool versus search_products, nor does it mention prerequisites such as needing a known product_id or when search should be used first.

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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