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SupplyGraph.AI.Daasmart

Patent Chain Classify

patent_chain_classify

基于中国境内具体地区(国家、省份、城市、区县)以及具体产业链名称,统计该范围内指定产业链上的专利数量。 涉及指标/类型:专利数量 不包含:专利明细列表;企业名单;海外地区专利统计 典型问法:2024年全国集成电路专利有多少;成都市新能源产业链专利数量;海淀区人工智能专利数量

Pricing: {"unit": "credits", "billing_model": "per_run", "per_run": 100, "unit_description": "optional"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNo统计年份,如 2024;可选。
regionYes地区名称,如「全国」「成都」「北京市海淀区」。
chain_nameYes产业链或节点名称,如「集成电路」「新能源」「人工智能」。

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText or Markdown response with the patent count result for the specified region and industry chain. Also used for in-progress, failed, cancelled, or waiting-user messages.

TDQS

A3.9/5.0
Behavior3/5

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

注释仅有openWorldHint,描述未额外披露行为细节,但工具为只读统计查询,风险低,且描述说明了统计范围,足以支撑使用。

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?

描述精炼,包含核心功能、排除项和示例,但定价信息非必需,略微冗余,不过整体结构清晰。

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

Completeness4/5

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

有输出schema,描述无需解释返回值,且提供了典型问法,但未明确说明地区支持的具体级别(如是否支持乡镇),总体足够。

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已覆盖全部三个参数的描述(region、chain_name、year),描述未额外添加参数细节,但典型问法间接示例了参数用法,基线合理。

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?

描述明确说明按地区和产业链统计专利数量,包含指标类型,并清楚列出不包含的内容(明细列表、企业名单、海外专利),与兄弟工具如chain_company_num(公司数量)有本质区别。

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?

给出了典型问法示例,指导何时使用(询问专利数量时),但不包含其他工具的明确排除说明,不过通过'不包含'清单隐含了边界。

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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