company_change_record基于明确指定的企业名称，查询该企业的变更记录信息，信息维度包括变更前、变更后、变更内容、变更日期等。比如可以查询企业的法定代表人变更、注册资本变更、经营范围变更等各种企业工商信息变更。
Pricing: {"unit": "credits", "billing_model": "per_run", "per_run": 0.2}
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | 指定返回第几页结果，从 1 开始，默认 1；与 limit 配合使用。 | |
| limit | No | 指定单次请求最多返回的记录数，默认 20，最大 100。 | |
| company_name | Yes | 企业名称（必填）。用于查询该企业的变更记录(工商变更)。示例：通威股份有限公司 |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the output's data dimensions (before/after, content, date) and gives examples, which adds value. However, it does not mention any restrictions, side effects, or read-only nature beyond implying 'query' (查询). Annotations only include openWorldHint, which is not contradicted, but the description carries a limited burden for behavior disclosure.
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 two concise sentences: the first states purpose and included data dimensions, the second provides illustrative examples. It is front-loaded with the main intent and contains no redundant or promotional language.
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?
Given the presence of an output schema and comprehensive parameter descriptions, the description adequately covers the tool's primary use case and data scope. It does not need to explain return format or error handling. The only minor gap is not indicating pagination behavior, but the schema already documents page and limit parameters.
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 schema covers all three parameters with descriptions, so baseline is 3. The description does not add extra meaning to the parameters beyond what the schema provides; it only reiterates that company_name is required (which is in schema) and doesn't clarify pagination semantics beyond existing schema text.
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 queries change records for a specified company, listing specific data dimensions (before/after change, content, date) and examples (legal representative, registered capital, business scope changes). This is a specific verb-resource-action that distinguishes it from sibling tools focused on specific change types.
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?
It provides clear context: use when you need general change record information for a company based on its name. It gives examples but does not explicitly exclude alternatives or mention when to use other change-specific tools like enterprise_change_branch_setup. However, the purpose is distinct enough that an agent can infer usage.
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。