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openstockdata

stock-data-mcp

美股财务报表

stock_financials_us

Retrieve US stock financial statements including balance sheet, income statement, and cash flow data. Supports multiple data sources for flexibility.

Instructions

获取美股财务报表数据,包括资产负债表、利润表、现金流量表。支持多数据源: Alpha Vantage (需API key) -> yfinance (免费)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes美股代码,如: AAPL, MSFT, GOOGL
quarterlyNo是否获取季度数据,False则获取年度数据
report_typeNo报表类型: balance_sheet(资产负债表), income_statement(利润表), cash_flow(现金流量表)balance_sheet
Behavior2/5

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

With no annotations, the description carries full burden. It discloses the Alpha Vantage API key requirement but omits other behavioral traits such as rate limits, error handling, or whether data is cached. The lack of detail leaves significant gaps for an agent.

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

Conciseness5/5

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

Two clear sentences: first states purpose, second adds data source context. Every word earns its place, no redundancy.

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?

Despite having 3 parameters and no output schema, the description does not explain return structure, failure modes (e.g., missing API key), or how to configure the key. It is too brief for a tool with dependencies.

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 baseline is 3. The description adds little beyond the schema; it lists statement types but does not elaborate on parameter formats or values. No additional semantic enrichment.

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?

Description clearly states it retrieves US stock financial statements (balance sheet, income statement, cash flow). It specifies the verb '获取' (get) and resource '美股财务报表数据', differentiating from siblings like stock_financial_compare which likely compares financials.

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

Usage Guidelines3/5

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

Description mentions two data sources with a dependency (API key required for Alpha Vantage), implying usage context based on key availability. However, it does not explicitly advise when to use this tool versus siblings like stock_earnings_us or stock_financial_compare.

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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