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Enterprise Change Certification

enterprise_change_certification

基于具体企业名称,按企业查询资质认证方面的周期变化,用于查询高新专精特新等资质、体系/等保认证及建筑资质等级等。不用于按资质标签批量筛选企业名单,也不用于金融牌照查询。 涉及指标/类型:是否通过最新环保合规审查;是否取得数据安全相关认证;是否持有海关AEO认证资质;是否建立数据安全等级保护制度;是否在境外市场完成合规备案;是否通过网络安全三级等保认证;企业环保合规等级属于哪一级;是否通过ISO14001环境管理体系认证;是否通过ISO9001质量管理体系认证;获得建筑工程总承包资质认证是哪一年;获得施工总承包资质认证是哪一年;获得专业分包资质认证是哪一年等 不包含:非本分类指标;按园区/产业链批量筛企业名单 典型问法:中国比亚迪股份有限公司是否通过最新环保合规审查;美国Tesla, Inc.是否取得数据安全相关认证;日本丰田自动车株式会社是否持有海关AEO认证资质

Pricing: {"unit": "credits", "billing_model": "per_run", "per_run": 320, "unit_description": "optional"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_nameYes企业名称,如「比亚迪股份有限公司」「Tesla, Inc.」。
country_nameYes国家名称,如「中国」「美国」「Japan」「China」。

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText or Markdown response generated by the agent. Returned for completed results as well as in-progress, failed, cancelled, or waiting-user messages.

TDQS

A4.2/5.0
Behavior4/5

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

With only openWorldHint provided, the description carries most of the behavioral burden. It discloses that this is a query operation ('按企业查询...周期变化') and enumerates the exact certification indicators and types covered. It does not mention side effects or data availability caveats, but the query nature is clear and there is no contradiction with annotations.

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 front-loaded with purpose, then provides exclusions, a detailed indicator list, and typical questions in a structured format. The indicator list is long but relevant; minor redundancy between '不用于按资质标签批量筛选' and '按园区/产业链批量筛企业名单' prevents a perfect score.

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

Completeness5/5

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

For a complex certification-query tool with only two parameters, complete schema coverage, an output schema, and openWorldHint, the description is thorough: it defines scope, lists supported indicators, gives explicit non-scope cases, and provides concrete example queries. It is sufficient for an agent to select and invoke the tool correctly.

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% and both parameters already have descriptive examples. The description reinforces parameter usage through typical questions like '中国比亚迪股份有限公司是否通过最新环保合规审查', but it does not add meaningful semantic constraints beyond what the schema already provides.

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's function: '按企业查询资质认证方面的周期变化', with specific object domains such as 高新/专精特新资质, 体系/等保认证, and 建筑资质等级. It also distinguishes itself from sibling batch-filter or financial-license tools by explicitly saying '不用于按资质标签批量筛选企业名单,也不用于金融牌照查询'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear when-to-use context ('基于具体企业名称') and explicit exclusions ('不用于按资质标签批量筛选企业名单' and '按园区/产业链批量筛企业名单'). However, it does not name alternative sibling tools, so the guidance stops short of fully explicit alternatives.

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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TDQS

B3/5.0
Disambiguation2/5

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。

Naming Consistency3/5

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。

Tool Count1/5

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。

Completeness4/5

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。

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