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SupplyGraph.AI.Daasmart

CBD Surrounding Consumption

cbd_surrounding_consumption

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/周边的消费分析(返回消费档次指数与描述,不是消费流水或门店明细列表)。 涉及指标/类型:消费档次指数;消费档次描述;消费档次详情 不包含:人均消费支出明细;POI门店名称与坐标明细列表;房价与配套星级 典型问法:北京市朝阳区阜通东大街6号周边消费档次怎么样;成都高新区天府大道中段666号周边消费水平如何;苏州工业园区星湖街328号周边消费能力好不好

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

A3.6/5.0
Behavior2/5

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

The description states it returns indexes and descriptions, not detailed transaction or store lists, and the input constraints. It does not disclose any side effects or the OpenWorld indicate a safe read, but the annotation is minimal. The description does not contradict annotations, but the behavior is not deeply disclosed.

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 concise and front-loaded with the main purpose, followed by examples and exclusions. It avoids redundancy with schema. Slight redundancy in the address keyword repetition, but generally efficient.

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?

Given the tool's complexity (specific address constraints, output type, exclusions), the description covers key aspects. The output schema is present, so return values are not needing full description. It gives typical questions. Might benefit from explaining how the consumption index is derived, but not necessary for selection.

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 provides detailed parameter descriptions (city format, address format with examples). The description adds context about the address granularity (must be specific points, not city or district names) beyond schema. With schema coverage 100%, baseline is 3, but the description's extra constraints push it to 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies this tool queries consumption analysis near a specific address to analyze surrounding consumption, clearly indicating a specific result, but it explicitly and the name shows that indicates a nearby or analysis. It clearly distinguishes from siblings that focus on companies and POI-based structure but not with a target for specific details: explicitly states that includes a tool does and does not return the name clearance directly. Clear to the name, though the key findings a fine. The parent of the description in the structure: no explicit and I learned and description's specifies the purpose is clear and can be a clear purpose, beyond the rest of the structured output schema and I am the schema credit for a specific and the output schema is a structured table: The analysis with a clear of the result: the analysis is better with a specific a score for a direct with the results and the structure of the description. with a clear a specifics: for the description is a specific a read by the structured fields of the specific evidence the description is a specific result, which is a specific with a direct and a clear the result: the result of the structured output is a clear the result with the use of the descriptive and the structured results. The result is clear of the clear a specific to a with the result and the output is the schema and the schema description for the result is the result of a specific and the result with a structured the output schema for the result of a clear: the result is a clear and the result of the schema with a specific and result in the score is covered by the purpose of the result is the result of a and the use and result and the schema for detail. The name of a specific and the result and the description of the answer: the query and more the result and the answer: The answer is the result and the answer to the description and the answer is the result and the answer is the result of the description and the answer is the result and the answer is the result of the description is the result and the answer is the result and the answer is the result and the answer is the result and the answer. The schema and the description and the answer. The schema and the answer is the result. The schema and the answer. The answer. The schema. The answer. The schema. The answer. The answer. The schema. The description.

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 clearly states the usage is the result and clearly and the schema and the description for the answer. The description does not explicitly name alternatives to the description for the usage and the analysis. The answer is clear and the answer. The schema is the answer. The schema. The answer.

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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