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heikowagner

Amazon Affiliate MCP Server

by heikowagner

amazon_compare

Create side-by-side comparisons of 2-5 Amazon products with affiliate links, returning ranked entries. Boost engagement and click-through rates with clear product comparisons.

Instructions

Build a structured side-by-side comparison of 2–5 Amazon products with affiliate links for any supported country. Returns ranked product entries with names and affiliate URLs. Product comparisons increase engagement and click-through rates significantly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinsYesList of Amazon ASINs to compare (each exactly 10 characters), e.g. ['B08N5WRWNW', 'B09G9FPHY6']
countryNoAmazon storefront country code. Default: dede
produktnamenNoOptional product names in the same order as the ASINs, used for display
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the output ('ranked product entries with names and affiliate URLs') and the affiliate-link aspect, which are behavioral traits beyond the schema. However, it does not disclose potential side effects or limitations, though none are apparent.

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 appropriately concise with three short sentences. The first sentence front-loads the primary purpose, the second describes the return value, and the third provides a brief usage rationale. No wasted words; each sentence earns its place.

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 lack of an output schema, the description appropriately explains the return format (ranked entries with names and URLs). It also covers the key inputs (2–5 products, supported countries) and the core functionality. It does not dive into edge cases or error handling, but for a low-complexity tool this is sufficient.

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 description coverage is 100%, and the schema already fully documents parameters like asins, country, and produktnamen. The description adds no extra parameter-level detail beyond reiterating the 2–5 product range and supported countries, so it meets the baseline for high schema coverage.

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's function: building a side-by-side product comparison of 2–5 Amazon items. It uses a specific verb ('Build') and resource ('comparison of Amazon products'), and distinguishes itself from sibling tools like amazon_search or amazon_bestsellers by focusing on comparison output with affiliate links.

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 a use case (increasing engagement and click-through rates) but does not explicitly state when to use this tool vs. alternatives. No exclusions or direct references to sibling tools are provided, though the marketing benefit sentence offers some context.

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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