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get_events_calendar

Retrieve upcoming corporate events such as earnings, dividends, splits, and IPOs. Filter by date range and specific symbols to track market catalysts.

Instructions

Fetch upcoming corporate events: earnings, dividends, splits, or IPOs.

Can show market-wide calendars or filter to specific symbols. Useful for tracking upcoming catalysts and corporate actions. Date ranges wider than 90 days are split into FMP-compatible windows internally. Note: For portfolio-aware auto-fill, use get_portfolio_events_calendar on portfolio-reads-mcp.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of events to return (max: 500). If omitted, defaults to 20 for unfiltered event_type="all", otherwise 50. Applied after symbol filtering and date sorting.
formatNoOutput format: - "summary": Key event info (date, symbol, type-specific fields) - "full": Complete event data from FMPsummary
symbolsNoComma-separated tickers to filter results (e.g., "AAPL,MSFT").
to_dateNoEnd date in YYYY-MM-DD format (default: today + 30 days). Requests may span more than 90 days; the tool splits them internally because FMP calendar endpoints accept max 90-day windows per call.
from_dateNoStart date in YYYY-MM-DD format (default: today).
event_typeNoCalendar type: - "earnings": Earnings dates with EPS estimates (default) - "dividends": Ex-dividend dates and amounts - "splits": Stock split dates - "ipos": Upcoming IPO dates - "all": All event types merged and sorted by dateearnings

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. It discloses internal date range splitting but omits authentication, rate limits, and read-only nature. Adequate but not comprehensive.

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?

Five sentences, each serving a purpose: purpose statement, capability, usefulness, behavioral note, and alternative tool. No redundancy, front-loaded.

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?

Complex tool with 6 params and no annotations; description covers core functionality, usage alternatives, and a key behavioral quirk. Output schema exists, so return format is not needed. Missing error handling or authorization hints, but overall sufficient.

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?

Input schema covers all 6 parameters with full descriptions (100%). The description adds only the date splitting context for from_date/to_date, which is a minor addition beyond the 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?

Clearly states it fetches corporate events (earnings, dividends, splits, IPOs) with symbol filtering. However, it does not distinguish itself from sibling tools like get_earnings_transcript, which might overlap in functionality.

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 a clear alternative (get_portfolio_events_calendar) for portfolio-aware use, and notes date range splitting. Lacks guidance on when to use vs other event-related siblings.

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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