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major7apps

tiingo-mcp

by major7apps

get_splits

Get historical stock split data for any ticker. Filter splits by ex-date range to analyze corporate actions.

Instructions

Get historical stock split data.

Args: ticker: Stock ticker symbol (e.g. AAPL, TSLA). start_date: Filter splits with ex-date on or after this date (YYYY-MM-DD). end_date: Filter splits with ex-date on or before this date (YYYY-MM-DD).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYes
end_dateNo
start_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so the description carries the burden. It mentions 'historical stock split data' and date filtering, but does not disclose additional behavioral traits like data freshness or side effects. The existence of an output schema partially compensates.

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 (5 lines), front-loaded with purpose, and clearly separates parameter explanations. Every sentence adds value with no wasted words.

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?

The description covers purpose and parameters adequately. With an output schema present, return format is handled. However, it could mention behavior when no data is found (e.g., returns empty list). Minor gap.

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?

The description adds significant meaning beyond the bare schema: it explains ticker as a stock symbol, start/end dates as filter by ex-date with specific format YYYY-MM-DD. With 0% schema coverage, this is essential and well done.

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 'Get historical stock split data', with a specific verb ('get') and resource ('stock split data'). It is distinct from sibling tools like get_dividends or get_fundamentals_definitions.

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?

The description explains the parameters (ticker required, optional start/end dates) and date format. It implies usage for retrieving split data but does not explicitly state when to use or avoid alternatives.

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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