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jackdark425

AIGroup Market MCP

by jackdark425

Company Performance

company_performance

Retrieve comprehensive company performance data including financial statements, forecasts, dividends, shareholder changes, and management details. Export in CSV or JSON.

Instructions

获取上市公司综合表现数据,包括业绩预告、业绩快报、财务指标、分红送股、主营业务构成、股东变动数据、管理层信息、公司基本信息、资产负债表、现金流量表、利润表等完整财务报表数据,支持CSV/JSON格式导出

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ts_codeYes股票代码,如'000001.SZ'表示平安银行,'600000.SH'表示浦发银行
data_typeYes数据类型:forecast(业绩预告)、express(业绩快报)、indicators(财务指标-包含盈利能力/偿债能力/营运能力/成长能力等全面指标)、dividend(分红送股)、mainbz(主营业务构成-融合产品/地区/行业)、holder_number(股东人数)、holder_trade(股东增减持)、managers(管理层信息)、audit(财务审计意见)、company_basic(公司基本信息)、balance_basic(核心资产负债表)、balance_all(完整资产负债表)、cashflow_basic(基础现金流)、cashflow_all(完整现金流)、income_basic(核心利润表)、income_all(完整利润表)、share_float(限售股解禁)、repurchase(股票回购)、top10_holders(前十大股东)、top10_floatholders(前十大流通股东)、pledge_stat(股权质押统计)、pledge_detail(股权质押明细)
start_dateYes起始日期,格式为YYYYMMDD,如'20230101'
end_dateYes结束日期,格式为YYYYMMDD,如'20231231'
periodNo特定报告期,格式为YYYYMMDD,如'20231231'表示2023年年报。指定此参数时将忽略start_date和end_date
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?

No annotations are provided, so the description must disclose behavioral traits. It fails to state whether the tool is read-only, has rate limits, or requires authentication. It only lists data types and export options, without behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single long sentence that enumerates many items, which is not concise. It could be better structured with bullet points or separate lines. However, it does front-load the main purpose.

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 complexity (7 parameters, many data types), the description lacks completeness. It does not explain the differences between similar data types (e.g., balance_basic vs balance_all) or the return format when output_format is not specified. No output schema to compensate.

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 coverage is 100%, so the schema already describes all parameters. The description adds a list of data types and notes export formats, but these are largely redundant with the parameter descriptions. No significant new meaning beyond the schema.

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 comprehensive performance data of listed companies, listing specific data types and export formats. It distinguishes from siblings like HK and US versions by implication (ts_code format for A-shares).

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 on when to use this tool vs alternatives (e.g., company_performance_hk, company_performance_us). No mention of prerequisites, context, or when not to use. The description only lists capabilities.

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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