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

注解只有openWorldHint=true，描述中主动披露了查询的范围（劳动仲裁、诉讼、高管合规等），明确列出了涵盖和排除的具体指标类型，提供了行为边界。未说明具体返回格式或数据来源，但鉴于输出schema存在，且描述中已充分列出查询可能涉及的具体风险维度，行为透明度良好。未出现与注解矛盾的内容。

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?

描述以核心功能开头，随后分层列出涉及指标、排除项和典型问法，结构清晰。虽然长度较长，但所有内容均为必要信息（指标列表、排除项、示例），没有冗余。最后的价格信息属于可选的附加信息，不影响评分。

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?

该工具输入简单（2个参数），输出schema存在，描述中详细列出了查询范围、排除项和多个典型问法，对于这个复杂度级别的工具已经足够完整。没有明显的空白领域，整体信息充分。

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?

输入schema对两个参数（company_name和country_name）提供了示例说明，描述中进一步用典型问法明确了参数使用方式（如“中国比亚迪股份有限公司”对应company_name+country_name），结合100%的schema覆盖率和上下文，参数语义清晰，描述补充了实际使用的上下文。

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?

描述明确说明按企业查询法律合规风险相关指标，列举了具体的风险类型（劳动仲裁、重大诉讼处罚、高管合规、未结案诉讼等），并明确说明不用于哪些查询（失信限高、经营异常）。这与兄弟工具如enterprise_change_credit_debt_risk和enterprise_change_violation_illegal区分明确，目的清晰具体。

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?

描述了按企业查询的使用场景和条件，明确说明了不包含的内容（非本分类指标、按园区/产业链批量筛企业名单），并给出了典型问法示例。虽然未显式说明与其他兄弟工具的使用时机对比，但通过明确排除范围已提供了足够的区分信息。

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.