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jackdark425

AIGroup Market MCP

by jackdark425

Macro Econ

macro_econ

Retrieve macroeconomic data including Shibor, LPR, GDP, CPI, PPI, money supply, PMI, and more. Export results in CSV or JSON format.

Instructions

获取宏观经济数据,包括Shibor利率、LPR利率、GDP、CPI、PPI、货币供应量、PMI、社融数据、Shibor报价、Libor、Hibor等,支持CSV/JSON格式导出

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indicatorYes指标类型,可选值:shibor(上海银行间同业拆放利率)、lpr(贷款市场报价利率)、gdp(国内生产总值)、cpi(居民消费价格指数)、ppi(工业生产者出厂价格指数)、cn_m(货币供应量)、cn_pmi(采购经理指数)、sf_month(社会融资规模增量)、shibor_quote(Shibor银行报价数据)、libor(伦敦银行间同业拆借利率)、hibor(香港银行间同业拆借利率)
start_dateYes起始日期,格式为YYYYMMDD,如'20230101'
end_dateYes结束日期,格式为YYYYMMDD,如'20230131'
output_formatNo输出格式,可选值:markdown(默认,返回markdown格式文本)、csv(生成CSV文件)、json(生成JSON文件)
export_pathNo导出文件保存路径(可选)。支持相对路径(相对于项目根目录)或绝对路径。如果不指定,默认保存到项目根目录的 exports 文件夹
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It fails to mention key traits: whether data is real-time or historical, rate limits, authorization needs, or how the markdown default output works. The mention of export formats is helpful but insufficient.

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 a single sentence that efficiently communicates purpose and supported indicators. It could be better structured with more front-loaded key points, but it avoids wordiness.

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

Completeness2/5

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

Given the tool retrieves multiple macroeconomic indicators with 5 parameters and no output schema, the description lacks completeness. It does not explain return values, pagination, data volume, or how results are structured. Crucial context for an agent to use this tool effectively is missing.

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?

Schema description coverage is 100% with detailed parameter descriptions. The tool description lists example indicators but does not add meaningful beyond what the schema already provides. 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 identifies the tool as retrieving macroeconomic data, enumerating a comprehensive list of indicators (Shibor, LPR, GDP, CPI, etc.), and explicitly states support for CSV/JSON export. This distinctively separates it from sibling tools focused on stock, fund, company, or other specific data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites, limitations, or scenarios where this tool is preferable to others like stock_data or finance_news.

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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