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SupplyGraph.AI.Daasmart

Park Participated Tender Company List

park_participated_tender_company_list

基于具体园区名称近两年参与过投标的企业列表查询。 涉及指标/类型:近两年参与过投标的企业列表 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:中关村软件园近两年参与过投标的企业名单;张江高科技园区近两年参与过投标的企业列表;苏州工业园区近两年参与过投标的企业有哪些

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。
park_nameYes园区名称,如「中关村软件园」「张江高科技园区」「苏州工业园区」。

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText or Markdown response with the company list result. Also used for in-progress, failed, cancelled, or waiting-user messages.

TDQS

A4.1/5.0
Behavior3/5

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

Annotations only include openWorldHint: true, so the description carries the burden of behavioral disclosure. It adds that the query is based on a specific park name and returns a list for the last two years, but it does not mention output format, pagination, authentication, or rate limits. The '仅返回数量不返回名单' phrase in '不包含' is confusing and may mislead — it contradicts the tool's list nature, though likely intended to clarify that this tool does not return just counts. This ambiguity reduces transparency.

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 compact and front-loaded with the core purpose, followed by structured sections for metrics, exclusions, and typical questions. The pricing note is extraneous but arguably useful for cost awareness. The '不包含' section is slightly redundant and confusing, but overall the structure is efficient and easy to scan.

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?

With an output schema present and only 2 parameters, the description sufficiently covers the core functionality and typical usage. It mentions the time window, park requirement, and exclusion of other categories. The ambiguity in the '不包含' line (whether it returns lists or counts) is a gap, but the presence of example questions mitigates. Overall, complete enough for a simple list-query tool.

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 schema already describes both parameters (park_name with examples, year as optional integer). The description adds that the query is scoped to '近两年' (last two years), which clarifies the default time window when year is not provided. It does not provide syntax or additional constraints beyond schema, but the context is helpful. With 100% schema coverage, baseline is 3, and the added time-window semantics justify a 4.

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 queries a list of companies that participated in tenders in the past two years for a specific park name. It distinguishes itself from siblings like park_participated_tender_company_num (count) and other park_*_list tools (e.g., park_issued_tender_company_list, park_won_tender_company_list) by specifying 'participated in tenders' and providing typical questions. The '不包含' section further clarifies scope, though slightly ambiguous.

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 includes typical query examples and states the fixed time window (近两年) and required park name. However, it does not explicitly name alternative tools for counts or other tender statuses (e.g., 'use park_participated_tender_company_num for counts'), leaving usage guidance implicit. The exclusion of 'other company classifications' hints at limits but without naming specific 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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