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get_market_basket

Retrieve products frequently purchased together with your ASINs using Amazon Brand Analytics market basket data. Analyze customer purchase patterns to identify cross-sell opportunities.

Instructions

Productos comprados junto con los tuyos (Brand Analytics).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
days_backNo
marketplaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as data freshness, authentication requirements, output scope, or any side effects. The single sentence only states the high-level purpose.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, short sentence in Spanish. It is concise but lacks structure (e.g., no separate sections). The title is null, and the description does not elaborate beyond a basic phrase.

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?

Despite having an output schema (not shown), the description does not explain what the tool returns or how to interpret results. For a tool with many siblings, more context is needed to ensure correct usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description adds no explanation for the two parameters (days_back, marketplace). The agent must infer their meaning from names and defaults, which may lead to misuse without additional context.

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 the tool provides 'products bought together with yours' and mentions 'Brand Analytics', indicating market basket analysis. It distinguishes from sibling tools like get_sales_and_traffic or get_competitive_pricing by focusing specifically on cross-sell insights.

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?

The description provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, limitations, or context for optimal use.

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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