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Dividend History

GetDividendHistory
Read-only

Get a company's stored declared cash dividends newest first. Each row gives the ex-dividend date, cash amount per share in USD, and source. Date filters apply to the ex-dividend date. Future ex-dates can appear after a dividend is declared. Dividend records are issuer-level and available only through the company's current primary ticker; a secondary share class is never assumed to have the same dividend.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
offsetNoNumber of newest matching records to skip for pagination (default: 0).
tickerYesCurrent primary stock ticker (e.g., AAPL, MSFT).
endDateNoOptional latest ex-dividend date in YYYY-MM-DD format.
startDateNoOptional earliest ex-dividend date in YYYY-MM-DD format.
maxResultsNoMaximum number of records to return (default: 20, max: 500).

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint true and destructiveHint false, so the safety profile is covered. The description supplements this with ordering behavior, row fields, ex-date semantics, the possibility of future ex-dates, and the primary-ticker/issuer-level restriction—valuable context beyond the annotations.

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 four dense sentences with no filler. The core action and result ordering are front-loaded, followed by only high-value caveats that an agent needs before calling the tool.

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?

Even without an output schema, the description tells the agent what each returned row contains, how results are ordered, how filters apply, and a critical ticker restriction. Combined with the schema's parameter documentation, this is complete enough for correct invocation.

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 100%, so the baseline is 3. The description adds meaningful parameter semantics by stating that date filters apply to the ex-dividend date and that records are tied to the current primary ticker, clarifying startDate/endDate and ticker beyond their schema descriptions.

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 states a specific verb and resource: 'Get a company's stored declared cash dividends newest first.' It clearly identifies the row contents, ordering, and the primary-ticker constraint, and no sibling tool covers dividend history, so an agent can distinguish it.

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 gives clear invocation context: date filters apply to the ex-dividend date, records are issuer-level, and only the current primary ticker is valid. It does not explicitly name alternatives or say when not to use this tool, but that is a minor gap given no sibling directly overlaps.

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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, with detailed descriptions that cross-reference related alternatives. A few near-duplicate names could cause misselection, notably SearchDocument versus SearchDocuments and GetCftcPositioning versus GetLatestCftcPositioning.

Naming Consistency5/5

Tool names consistently follow a VerbNoun camelCase pattern: Get for retrievals, Search for discovery, List/Read for document access, and Add/Close/Remove/Update/Watch/Create/Delete for portfolio mutations. Despite the large count, there is no mixing of naming conventions or unpredictable verb styles.

Tool Count1/5

108 tools is an extreme surface area, far beyond the 3-15 well-scoped range and well past the 25+ threshold. Even for a broad financial data platform, this creates a heavy selection burden and substantial context overhead for agents.

Completeness4/5

The server covers an unusually wide domain: prices, fundamentals, SEC filings, options, insider activity, 13F holdings, short interest, macro data, funds, IPOs, and full portfolio lifecycle management. Notable gaps remain, such as a basic company profile/ticker-resolution tool, dividend history, and analyst estimates, so it is not a perfect 5.