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Johnhyeon

StockLens

by Johnhyeon

get_us_financial_statement

Retrieve US financial statements (income, balance sheet, cash flow) for any ticker. Specify statement type and period to extract core metrics.

Instructions

US financial statements — 미국 주식 재무제표 3종 (income/balance/cash_flow). "AAPL 손익계산서", "NVDA 현금흐름표", "Apple balance sheet quarterly" 같은 질문에 사용합니다.

핵심 row만 추출 (Total Revenue, Net Income, Total Assets, Free Cash Flow 등).

Args: ticker: US 티커 statement_type: "income" / "balance" / "cash_flow" (기본 income) period: "annual" / "quarterly" (기본 annual)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYes
statement_typeNoincome
periodNoannual

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided. Description discloses key behavioral trait: only extracts key rows (e.g., Total Revenue, Net Income). Does not mention auth or error handling, but for a read-only data tool this is adequate.

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?

Concise two-sentence description followed by parameter list. Front-loaded with purpose, no wasted words. Uses examples effectively.

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

Completeness5/5

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

Given output schema exists (no need to describe returns) and low complexity, the description covers purpose, parameters, and key behavioral note. Complete for a simple data retrieval tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage. Description fully compensates by explaining ticker as US ticker, statement_type allowed values (income/balance/cash_flow) and default, period allowed values (annual/quarterly) and default. Adds semantic meaning beyond raw 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 US financial statements (income, balance, cash flow) with specific examples like 'AAPL 손익계산서'. It distinguishes from siblings like get_us_financials by focusing on statement types and key rows.

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?

Provides clear usage context via example queries, implying when to use (e.g., when user asks for income statement). Lacks explicit when-not-to-use or alternative tools, but the examples are sufficient context.

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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