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openmarkets

openmarkets

by danchev
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_financial_calendar

Retrieve a stock's financial calendar, including upcoming earnings dates and corporate events. Input a ticker symbol to get scheduled announcements.

Instructions

Retrieve the financial calendar for a given ticker.

Args: ticker (str): The symbol of the security.

Returns: FinancialCalendar: Financial calendar data.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "ticker": "<ticker>"
    },
    "name": "get_financial_calendar"
  }
}

Input Schema

NameRequiredDescriptionDefault
tickerYes

Output Schema

NameRequiredDescriptionDefault
Dividend DateNoDividend payment date.
Ex-Dividend DateNoEx-dividend date.
Earnings DateNoList of earnings dates.
Earnings HighNoHigh estimate for earnings.
Earnings LowNoLow estimate for earnings.
Earnings AverageNoAverage earnings estimate.
Revenue HighNoHigh estimate for revenue.
Revenue LowNoLow estimate for revenue.
Revenue AverageNoAverage revenue estimate.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations provided. The description does not disclose any behavioral traits beyond the basic retrieval action. No mention of error handling, data freshness, or any side effects.

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?

The description is concise and front-loaded with the main purpose. The Args and Returns sections are clearly separated. Every line adds value, though it could include a usage example.

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?

For a simple retrieval tool with one parameter and an existing output schema, the description provides the essential purpose but lacks context on the calendar's format, date range, or typical use cases. It is adequate but not thorough.

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?

The description adds limited meaning to the single parameter 'ticker' by stating it is 'The symbol of the security', which is not in the schema. However, it is still minimal and relies on the agent's general knowledge.

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 verb 'Retrieve' and the resource 'financial calendar for a given ticker'. It unambiguously identifies the tool's purpose and distinguishes it from siblings like get_dividends or get_earnings_estimates.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs. alternatives (e.g., get_financial_summary). No exclusions or prerequisites. The agent must infer usage from the name alone.

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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