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SupplyGraph.AI.Daasmart

Chain Won Tender Company List

chain_won_tender_company_list

基于具体地区(国家,省份,城市,区县)以及具体产业链名称近两年有中标的企业列表查询(合并返回总量/生产型/销售型/依赖型文本)。 涉及指标/类型:近两年有中标的企业列表;生产型近两年有中标的企业列表;销售型近两年有中标的企业列表;依赖型近两年有中标的企业列表 不包含:其他企业分类的统计;仅返回数量不返回名单 典型问法:2024年全国集成电路近两年有中标的企业名单;成都市新能源产业链近两年有中标的企业列表;海淀区人工智能近两年有中标的企业有哪些

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. Includes merged results for total / product / sales / dependency company lists. Also used for in-progress, failed, cancelled, or waiting-user messages.

TDQS

A4.3/5.0
Behavior4/5

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

Beyond the openWorldHint annotation, the description discloses the fixed two-year window, the combined return of total/production/sales/dependent company lists, and excludes other classifications. It does not mention authentication or rate limits, but the output schema covers return structure sufficiently.

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 the core function, followed by included metrics, exclusions, and examples in a logical, scannable structure. The embedded Pricing block adds extra metadata but does not obscure the tool's purpose.

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?

For a simple 3-parameter list query with an output schema available, the description provides enough behavioral and boundary information to select and invoke the tool correctly. Typical questions and the exclusion list close most gaps, though the exact handling of the optional year within the two-year window could be clearer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already documents all three parameters with descriptions, providing a high coverage baseline. The description adds practical meaning by clarifying region scopes (国家/省份/城市/区县), giving chain examples like 集成电路/新能源/人工智能, and showing realistic query phrasings. The year parameter's relation to '近两年' remains slightly ambiguous.

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 purpose: querying lists of companies that won tenders in the past two years by region and chain name. It also specifies the merged return types (总量/生产型/销售型/依赖型) and explicitly excludes count-only or other classifications, distinguishing it from related list/count siblings.

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 provides clear usage context with typical query examples and explicitly states what is not included, such as '仅返回数量不返回名单'. However, it does not explicitly name the count-only alternative (chain_won_tender_company_num), though the sibling tool name makes this obvious.

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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