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SupplyGraph.AI.Daasmart

CBD Surrounding Population

cbd_surrounding_population

基于中国范围内的具体地址或地点(如门牌、地标、路名、小区名、园区出入口等,必须是中国境内可定位的具体点,不能是市名或区县名本身;不支持境外地址),查询其附近/周边的人口分析(返回人口结构/密度指数与描述,不是户籍统计明细或人口名单)。 涉及指标/类型:人口结构指数与描述/详情;居住密度指数与描述/详情;商务密度指数与描述/详情 不包含:户籍/常住人口数量与增长率;代际人口占比明细;企业数量;POI门店名称与坐标明细列表 典型问法:北京市朝阳区阜通东大街6号周边人口结构怎么样;成都高新区天府大道中段666号周边居住密度如何;苏州工业园区星湖街328号周边商务密度怎么样

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYes中国境内地级市名称(设区的市,如「北京」「成都」「苏州」);只返回中文城市名,不含「市」字后缀(如「北京」而不是「北京市」)。
addressYes中国境内结构化中文地址,按「国家、省份、城市、区县、城镇、乡村、街道、门牌号码、屋邨、大厦」从大到小拼接;须为中国范围内可定位地址,不支持境外地址;缺失层级跳过,顺序不可颠倒。示例:北京市朝阳区阜通东大街6号。

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

Beyond the openWorldHint annotation, the description discloses what the tool returns (indices and descriptions, not raw population lists) and what it explicitly excludes. It also includes pricing context, adding useful operational transparency beyond the schema and annotations.

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 well-structured with clear sections for scope, included indicators, exclusions, and typical queries. It is somewhat longer than necessary but every section serves a purpose and the main function is front-loaded.

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

Completeness5/5

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

The description is complete for a two-parameter lookup tool: it defines valid input scope, clarifies output semantics, enumerates exclusions, gives example queries, and includes pricing. Since an output schema exists, the description does not need to explain return values in further detail.

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 covers both parameters in detail with 100% coverage, so the baseline is 3. The description adds value by reinforcing the requirement for a specific locatable point, providing typical query examples, and clarifying that city/district names alone are invalid inputs.

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 surrounding population analysis for a specific Chinese address, with an explicit verb and resource. It also distinguishes itself by listing included indicators (population structure, residential density, business density) and excluding registry statistics and POI lists.

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 gives clear when-to-use context: valid for specific China-locatable points, not for city/district names or overseas addresses. It also provides negative scope (not household registration counts or POI details), but it does not explicitly name alternative sibling tools for those cases.

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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