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cash_flow

Obtain cash flow statements for a company, detailing operating, investing, and financing cash flows, free cash flow, and capital expenditure. Supports annual and quarterly data.

Instructions

Get cash flow statement for a company.

Returns operating cash flow, investing cash flow, financing cash flow, free cash flow, capital expenditure, and more.

Args: symbol: Stock ticker (e.g., INFY, SBIN, GOOGL, AMZN) quarterly: If True, quarterly data. If False (default), annual.

Examples: cash_flow("INFY") → Infosys annual cash flow cash_flow("GOOGL", quarterly=True) → Google quarterly cash flow

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes
quarterlyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must cover behavioral aspects. It omits any mention of data freshness, pagination, rate limits, or error handling. The tool is clearly read-only, but this is not stated explicitly.

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?

The description is concise, using bullet points for key return fields and a clear args/examples section. Every sentence adds value, and the structure is front-loaded with the main purpose.

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

Completeness4/5

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

Given the presence of an output schema (not shown but indicated), the description adequately explains return values. It covers main use cases but lacks details on error scenarios or edge cases like invalid symbols.

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 0%, but the description explains both parameters thoroughly: symbol with examples of valid tickers, quarterly with explanation of default behavior. This adds significant value beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves cash flow statements and lists specific components. Examples with different stocks and quarterly toggle clarify usage. It distinguishes itself from siblings like balance_sheet and income_statement implicitly, but does not explicitly contrast with them.

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?

The description implies usage for cash flow analysis through examples and listed metrics. However, it does not explicitly state when to use or avoid this tool compared to siblings, nor does it mention prerequisites or 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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