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get_financial_statements

Read-onlyIdempotent

Retrieve fundamental financial data for Taiwan stocks including monthly revenue, EPS, and valuation metrics like PER, dividend yield, and price-to-book ratio. Specify stock code and data type (revenue, EPS, or valuation).

Instructions

取得台股公司的基本面財務數據:月營收、每股盈餘(EPS)、本益比(PER)、殖利率、股價淨值比等

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes台股代號,例如 2330
typeNo資料類型: revenue(月營收)、eps(每股盈餘)、valuation(估值指標),預設 valuation
Behavior2/5

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

Annotations already indicate safe read operation. Description only lists data types but does not add behavioral context such as data source, update frequency, or pagination. Minimal additional value beyond annotations.

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?

Single, front-loaded sentence efficiently conveys core purpose. However, the list of metrics is dense; could be more readable with bullet points. Overall compact and direct.

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?

No output schema is provided, and the description does not specify return format (e.g., historical vs. single value, time range). For a data retrieval tool, missing details on output structure hinder completeness.

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% with descriptions for both parameters. Description reiterates the 'type' parameter options, adding slight context but no new semantic detail 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?

Description clearly states the tool retrieves fundamental financial data for Taiwanese stocks, listing specific metrics (monthly revenue, EPS, PER, yield, P/B). Distinguishes from siblings like get_monthly_revenue or get_stock_eps by offering a consolidated view.

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 does not explicitly state when to use this tool over siblings like get_fundamentals_from_db or get_stock_eps. Usage is implied but lacks guidance on context or prerequisites.

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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