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heikowagner

Amazon Affiliate MCP Server

by heikowagner

amazon_deals

Retrieve affiliate links for active Amazon deals across supported countries, including lightning, outlet, warehouse, and Prime offers, to share time-sensitive promotions that convert well.

Instructions

Get affiliate links to current Amazon deals and offers for any supported country. Supports flash deals (lightning), outlet discounts, warehouse (open-box) items, and Prime-exclusive offers. Great for sharing time-sensitive promotions that convert well.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoAmazon storefront country code. Default: dede
deal_typeNoType of deal: alle (all deals) | blitzangebote (lightning/flash deals) | outlet (clearance) | warehouse (open-box) | prime (Prime-exclusive)alle
Behavior3/5

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

No annotations are provided, so the description carries the full transparency burden. It clearly indicates the tool returns affiliate links and supports specific deal types, implying a read-only operation. However, it does not describe the return format or any potential quirks, leaving some ambiguity.

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?

Three sentences, each adding meaningful information: the core function, supported deal types, and a use case. No filler or redundancy.

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 two-parameter tool with no output schema, the description covers purpose, scope, deal categories, and a practical use case. It does not explicitly state the return format, but that is less critical given the absence of an output schema.

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 descriptions cover both parameters fully (100%). The description adds value by mapping the deal_type enum to more human-readable alternatives (flash/lightning, outlet, warehouse, Prime), enriching the parameter context beyond 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 affiliate links for current Amazon deals and offers, enumerating supported deal types. This provides a specific verb+resource+scope that distinguishes it from siblings like amazon_bestsellers or amazon_search.

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 provides clear context by stating it is 'Great for sharing time-sensitive promotions that convert well,' guiding when to use the tool. It does not explicitly name alternatives or exclusions, but the use case is well-defined.

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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