tariff_classificationClassifies products into correct HTS codes from text or documents, automating tariff lookup and ensuring customs compliance in real time.
Pricing: {"unit": "credits", "per_run": 2}
| Name | Required | Description | Default |
|---|---|---|---|
| product_description | Yes | Description of the product used to identify HS/HTS codes. |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool operates in real time and mentions pricing in credits, which are behavioral traits. However, it does not mention potential side effects, limitations, or error conditions, and the annotation openWorldHint is not elaborated in the text.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, consisting of two sentences: the first clearly defines the tool's action, and the second provides essential pricing information. It is front-loaded with the primary purpose and has no unnecessary details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the main function, real-time nature, and pricing. It does not explicitly specify the output format, but it is implied that the result is an HTS code. For a simple tool without an output schema, this is largely complete, though a bit more detail on the return value could improve it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already provides a clear description of the product_description parameter. The tool description adds that it can handle 'text or documents', slightly expanding the parameter's scope, but this is minor and the schema coverage is high.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: classifying products into HTS codes from text or documents, and mentions automating tariff lookup and customs compliance. This distinguishes it from other tools like tariff_calc which likely computes tariff amounts, so it is specific and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly implies when to use the tool (when product classification to HTS codes is needed), but it does not explicitly discuss alternatives or exclusion criteria. However, the purpose is so well-defined that the usage context is clear without explicit comparisons.
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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大量工具功能高度重叠，例如chain_*和park_*系列均为按不同筛选条件查询企业列表或数量，只是参数不同却拆分为独立工具；enterprise_change_*系列同样针对不同指标逐一拆分。虽然描述清楚各自区别，但代理面对198个工具时极易选错，且许多工具本质应合并为带参数的单一接口。
多数工具采用snake_case加领域前缀（如chain_、park_、company_、gov_data_、poi_data_），但存在明显变体如company_certlist、company_randomin_spection（拼写异常）、corporate_exception_report、due_diligence_report、sg_chokepoint等，混用英文抽象名词与动词短语，整体模式可辨认但不统一。
工具总数高达198个，远超合理范围（即使复杂领域也应控制在25个以内）。大量工具是同一逻辑的不同参数变体（如list/num、不同资质条件），完全可以通过参数化减少数量，严重冗余，代理难以有效浏览和选择。
工具覆盖领域广泛，包括企业信息、产业链分析、园区统计、地区宏观、POI明细、供应链风险、关税计算等，基本覆盖了商业数据查询的主要需求。虽缺少更新/删除等操作（但作为查询服务器可接受），且部分细分领域可能有遗漏，但整体功能较为完整。