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jackdark425

AIGroup Market MCP

by jackdark425

Basic Info

basic_info

Retrieve basic financial information such as stock lists, trade calendars, and index data across multiple markets including A-shares, Hong Kong, US stocks, ETFs, and indices.

Instructions

获取基础信息数据,包括股票列表、交易日历、新股列表、港股列表、美股列表、指数列表、ETF列表

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
info_typeYes信息类型,可选值:stock_basic(A股股票列表)、trade_cal(交易日历)、new_share(新股列表)、hk_basic(港股列表)、us_basic(美股列表)、index_basic(指数列表)、etf_basic(ETF列表)
exchangeNo交易所代码(可选),用于筛选特定交易所的数据。A股可选:SSE(上交所)、SZSE(深交所)、BSE(北交所);港股:HKEX;美股:NASDAQ、NYSE、AMEX
list_statusNo上市状态(可选),可选值:L(上市)、D(退市)、P(暂停上市),默认L
start_dateNo起始日期,格式为YYYYMMDD,如'20230101'。用于交易日历查询或新股上市日期筛选
end_dateNo结束日期,格式为YYYYMMDD,如'20231231'。用于交易日历查询或新股上市日期筛选
ts_codeNo股票代码(可选),用于查询特定股票的信息
marketNo市场类型(可选),用于指数列表查询。可选值:SSE(上交所)、SZSE(深交所)、CICC(中金所)、MSCI、CSI(中证)、CNI(国证)、OTH(其他)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It indicates a read-only operation ('获取') but does not disclose other behavioral traits like pagination, rate limits, or dependencies. The description is adequate but lacks depth.

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 enumerates the data types. It is not overly verbose, though a clearer separation of items (e.g., bullet points) could improve readability. It avoids fluff.

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

Completeness3/5

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

Given the tool has 7 parameters (1 required) and no output schema, the description covers the core purpose and parameter options but lacks usage guidelines and behavioral details. It is moderately complete but could benefit from additional context.

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?

Schema coverage is 100%, so baseline is 3. The description adds value by explaining the meaning of each info_type value and providing context for parameters like exchange and market with specific options, going beyond the schema's brief descriptions.

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 it retrieves basic information data with specific types (stock lists, trade calendars, etc.) and uses a strong verb-resource pair. It distinguishes itself from sibling tools that focus on more specific data like stock_data or index_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?

The description does not provide any guidance on when to use this tool versus alternatives. It lists the types of data but does not explain scenarios where basic_info is preferable to more specialized sibling tools.

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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