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sellfox_profit_product

sellfox_profit_product

Retrieve product-level profit data for Amazon sellers, filterable by date, ASIN, SKU, and other dimensions.

Instructions

销售利润数据(产品维度)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descNo是否降序: true/false
typeNo数据类型: MSKU/ASIN/parentAsin/SKU/shop/developer/salesman
endDateNo结束时间 yyyy-MM-dd
orderByNo排序字段: profit/profitRate/salePrice/saleNum/adTotalCost
brandIdsNo品牌ID列表
currencyNo币种
devIdListNo开发人/业务员ID列表
mergeAsinNo按ASIN汇总: true/false
startDateNo开始时间 yyyy-MM-dd
onlySettleNo仅统计已结算订单: true/false
searchTypeNo搜索类型
shopIdListNo店铺ID列表
userIdListNo机构组织用户ID列表
fullCidListNo商品分类ID列表
labelIdListNo产品标签ID列表
mergeParentAsinNo按父ASIN汇总: true/false
marketplaceIdListNo站点ID列表
searchContentListNo搜索内容列表
Behavior2/5

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

No annotations provided, and the description does not disclose any behavioral traits (e.g., read-only, permissions, rate limits). For a data retrieval tool, it is assumed safe but not stated.

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 sentence, which is concise but overly brief for a tool with 18 parameters. It lacks structure and detail, making it less helpful than a slightly longer but more informative description.

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?

Given the tool has 18 parameters and no output schema, the description is insufficient. It does not explain what data is returned, how to interpret results, or any important context about the profit calculation.

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 coverage is 100% with descriptions for all 18 parameters. Descriptions are concise but provide basic meaning (e.g., enum values for 'type'). Baseline score of 3 is appropriate as descriptions add marginal value beyond parameter names.

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 Chinese description '销售利润数据(产品维度)' clearly states the tool returns sales profit data at the product dimension. However, it does not differentiate from sibling tools like sellfox_profit_shop or sellfox_profit_report_asin, which have different dimensions.

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 guidance on when to use this tool versus alternatives. The description lacks any explicit usage context, such as prerequisites or typical scenarios.

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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