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SupplyGraph.AI.Daasmart

Enterprise Change Capital Brand Innovation

enterprise_change_capital_brand_innovation

基于具体企业名称,按企业查询资本品牌方面的周期变化,用于查询研发投入、专利申报、线上销售占比与管理数字化程度。不用于专利软著持有件数等创新成果数量统计。 涉及指标/类型:研发投入额度;研发投入营收占比;专利申报数量;企业销售线上占比;企业管理数字化程度 不包含:非本分类指标;按园区/产业链批量筛企业名单 典型问法:中国比亚迪股份有限公司研发投入额度;美国Tesla, Inc.研发投入营收占比;日本丰田自动车株式会社专利申报数量

Pricing: {"unit": "credits", "billing_model": "per_run", "per_run": 50, "unit_description": "optional"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_nameYes企业名称,如「比亚迪股份有限公司」「Tesla, Inc.」。
country_nameYes国家名称,如「中国」「美国」「Japan」「China」。

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText or Markdown response generated by the agent. Returned for completed results as well as in-progress, failed, cancelled, or waiting-user messages.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

The description does not mention any side effects, permissions, or access restrictions. Since the annotation openWorldHint is provided, the bar for transparency is lower, and the description adds no significant behavioral details beyond the fact that it is a query tool. It does mention pricing but that is not a behavioral aspect.

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 fairly concise but contains some redundancy, such as repeating the list of indicators and exclusions. However, the structure with bullet points and typical queries makes it easy to parse, and no unnecessary information is included.

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?

The description provides a complete overview of what the tool does, what it does not cover, and gives concrete examples. It is sufficient for an agent to understand when and how to invoke it, without needing to explain the output format or return values.

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?

The input schema already fully describes both parameters (company_name and country_name) with examples. The tool description does not add additional meaning or clarify parameter usage beyond what the schema provides, so the baseline score of 3 is appropriate.

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 cyclical changes in capital aspects for a specific enterprise, listing specific indicators (R&D investment, patent applications, online sales ratio, management digitalization). It also distinguishes itself from related tools by stating what it does not cover (e.g., patent soft holdings counts, batch screening).

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 explicit exclusions (not for patent soft holdings, not for batch screening by park/industry chain) and includes typical query examples, which effectively guide when to use this tool. However, it does not explicitly contrast with sibling tools like enterprise_change_capital_brand_recognition or transparency, though the focus on innovation is implicit.

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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