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get_category_sales

Retrieve aggregated sales data per product category, including revenue, units sold, and product count, for a specified date range and sales channel.

Instructions

依商品分類(Category)彙總銷售數據:各分類的營業額、銷量、商品數。需交叉 Categories API + Products + Orders。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateYes起始日期 YYYY-MM-DD
end_dateYes結束日期 YYYY-MM-DD
channelNo通路篩選all
Behavior3/5

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

No annotations exist, so the description must carry the burden. It reveals that the tool requires multiple API calls (cross-referencing), hinting at potential latency, but lacks details on authentication, rate limits, or handling of missing data.

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 sentence that efficiently conveys the purpose and a key constraint (cross-referencing). It is not verbose, but could be slightly more structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists. The description mentions the returned fields (revenue, sales volume, item count) but lacks details on formatting, pagination, or error handling. Adequate but not comprehensive for a tool with medium 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 coverage is 100% with clear parameter descriptions. The tool description adds no additional meaning beyond what the schema provides, so a baseline score of 3 is appropriate.

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 summarizes sales data by product category, specifying revenue, sales volume, and item count. It also notes the need to cross-reference multiple APIs, distinguishing it from sibling tools that handle individual aspects like orders or categories.

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 the tool is for category-level sales aggregation and mentions cross-referencing overhead, but does not explicitly state when to use it over alternatives like get_sales_summary or get_top_products, nor does it provide exclusion criteria.

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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