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longbridge

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Financial Calendar

finance_calendar
Read-onlyIdempotent

Retrieve financial calendar events by category and date range, including earnings, dividends, splits, IPOs, macro data, and market holidays, with optional market filter.

Instructions

Get finance calendar events by category and date range. category: report (earnings + financials) / dividend / split (splits & reverse splits) / ipo / macrodata (CPI, NFP, rate decisions) / closed (market holidays). market: HK/US/CN/SG/JP/UK/DE/AU (optional).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryYesEvent category. One of: - "report": earnings reports (includes financial statements) - "dividend": dividend announcements - "split": stock splits and reverse splits (share consolidations) - "ipo": upcoming IPO listings - "macrodata": macro economic data releases (CPI, NFP, rate decisions, etc.) - "closed": market closure days
startYesStart date in YYYY-MM-DD format (inclusive)
endYesEnd date in YYYY-MM-DD format (inclusive)
marketNoOptional market filter. One of: HK, US, CN, SG, JP, UK, DE, AU. Omit to include all markets.
Behavior4/5

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

Annotations already indicate readOnly, idempotent, and openWorld hints, so the description adds value by explaining category and market semantics. It does not contradict annotations and provides useful behavioral context without overpromising.

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 three sentences, front-loaded with the core action, and every sentence serves a purpose. No wasted words or tangential details.

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

Completeness3/5

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

The description is adequate for a simple read tool but does not mention return value format or limitations (e.g., pagination, date range bounds). With no output schema, this omission reduces 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?

Input schema covers all parameters with descriptions (100% coverage), so baseline is 3. The description adds minor redundancy (e.g., listing market values) but does not significantly enhance understanding 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?

The description clearly states the tool's purpose: 'Get finance calendar events by category and date range.' It lists specific categories (report, dividend, split, ipo, macrodata, closed) and optional market filter, making it distinct from sibling tools like trading_days.

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 provides clear context by listing categories and market options, implicitly guiding when to use each. However, it does not explicitly contrast with related tools (e.g., trading_days) or specify when not to use.

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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