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leoncuhk

MCP Yahoo Finance

by leoncuhk

get_stock_price_date_range

Retrieve historical stock prices for a specific symbol within a defined date range using Yahoo Finance data.

Instructions

Get the stock prices for a given date range for a given stock symbol.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesStock symbol in Yahoo Finance format.
start_dateYesThe start date in YYYY-MM-DD format.
end_dateYesThe end date in YYYY-MM-DD format.

Implementation Reference

  • MCP tool handler for get_stock_price_date_range, decorated with @mcp_instance.tool() for registration. Delegates to YahooFinance instance method.
    @mcp_instance.tool()
    def get_stock_price_date_range(symbol: str, start_date: str, end_date: str) -> str:
        """Get the stock prices for a given date range for a given stock symbol.
    
        Args:
            symbol (str): Stock symbol in Yahoo Finance format.
            start_date (str): The start date in YYYY-MM-DD format.
            end_date (str): The end date in YYYY-MM-DD format.
        """
        return yf_instance.get_stock_price_date_range(symbol, start_date, end_date)
  • Core implementation in YahooFinance class: fetches historical stock prices using yfinance.Ticker.history() and returns Close prices as JSON.
    def get_stock_price_date_range(
        self, symbol: str, start_date: str, end_date: str
    ) -> str:
        """Get the stock prices for a given date range for a given stock symbol.
    
        Args:
            symbol (str): Stock symbol in Yahoo Finance format.
            start_date (str): The start date in YYYY-MM-DD format.
            end_date (str): The end date in YYYY-MM-DD format.
        """
        stock = Ticker(ticker=symbol, session=self.session)
        prices = stock.history(start=start_date, end=end_date)
        prices.index = prices.index.astype(str)
        return f"{prices['Close'].to_json(orient='index')}"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the action 'Get' but does not specify whether this is a read-only operation, if it requires authentication, rate limits, error handling, or the format of returned data. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 a single, efficient sentence that front-loads the core purpose without any wasted words. It is appropriately sized for the tool's complexity, making it easy to parse quickly.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It does not explain what data is returned (e.g., price types, structure), potential errors, or behavioral traits like rate limits. For a tool with no structured support, more contextual detail is needed to adequately inform an agent.

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 input schema has 100% description coverage, clearly documenting all three parameters with details like format (YYYY-MM-DD) and source (Yahoo Finance). The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline for high schema coverage without compensating value.

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?

The description clearly states the verb 'Get' and the resource 'stock prices' with scope 'for a given date range for a given stock symbol', making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'get_historical_stock_prices' or 'get_stock_price_by_date', which likely serve similar purposes, preventing a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives, such as 'get_historical_stock_prices' or 'get_stock_price_by_date', nor does it mention any prerequisites or exclusions. It only states what the tool does, leaving usage context implied at best.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.