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sellfox_product_sales

sellfox_product_sales

Get product sales data aggregated by ASIN, parent ASIN, MSKU, or SKU dimensions to analyze Amazon sales performance.

Instructions

获取产品销量数据,支持按 ASIN/父ASIN/MSKU/SKU 维度汇总。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes数据类型
endDateNo结束时间 yyyy-MM-dd
currencyNo币种
groupTypeYes统计维度
mergeAsinNo按ASIN汇总: true/false
startDateNo开始时间 yyyy-MM-dd
searchTypeNo搜索类型
shopIdListNo店铺ID列表
statTimeTypeNo统计周期: 1=日, 2=周, 4=月
searchContentListNo搜索内容列表
fulfillmentChannelNo发货方式: FBA, FBM
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 any behavioral traits such as authentication requirements, rate limits, or side effects. The tool appears to be a read operation, but this is not confirmed.

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

Conciseness4/5

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

The description is a single concise sentence with no wasted words. While efficient, it could be slightly more structured (e.g., listing key dimensions) without adding length.

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?

With 11 parameters and no output schema, the description lacks essential context about output format, date range behavior, or how parameters interact. It is insufficient for a tool of this complexity.

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%, so the schema already documents all parameters. The description adds minimal value beyond mentioning aggregation dimensions. Baseline of 3 is appropriate.

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 retrieves product sales data and mentions supported aggregation dimensions (ASIN/parent ASIN/MSKU/SKU). However, it does not explicitly differentiate from sibling tools like sellfox_store_sales or sellfox_product_analysis.

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?

Usage context is implied through the nature of the data ('product sales'), but there is no explicit guidance on when to use this tool versus alternatives, nor any stated preconditions or exclusions.

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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