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maxscheijen

MCP Yahoo Finance

by maxscheijen

get_current_stock_price

Retrieve the current stock price for a specific company by providing its Yahoo Finance stock symbol. Ideal for real-time financial data tracking.

Instructions

Get the current stock price based on stock symbol.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesStock symbol in Yahoo Finance format.

Implementation Reference

  • The core implementation of the get_current_stock_price tool, which fetches and formats the current stock price using yfinance.
    def get_current_stock_price(self, symbol: str) -> str:
        """Get the current stock price based on stock symbol.
    
        Args:
            symbol (str): Stock symbol in Yahoo Finance format.
        """
        stock = Ticker(ticker=symbol, session=self.session).info
        current_price = stock.get(
            "regularMarketPrice", stock.get("currentPrice", "N/A")
        )
        return (
            f"{current_price:.4f}"
            if current_price
            else f"Couldn't fetch {symbol} current price"
        )
  • Registers all tools including get_current_stock_price using generate_tool in the MCP server's list_tools method.
    @server.list_tools()
    async def list_tools() -> list[Tool]:
        return [
            generate_tool(yf.get_current_stock_price),
            generate_tool(yf.get_stock_price_by_date),
            generate_tool(yf.get_stock_price_date_range),
            generate_tool(yf.get_historical_stock_prices),
            generate_tool(yf.get_dividends),
            generate_tool(yf.get_income_statement),
            generate_tool(yf.get_cashflow),
            generate_tool(yf.get_earning_dates),
            generate_tool(yf.get_news),
            generate_tool(yf.get_recommendations),
            generate_tool(yf.get_option_expiration_dates),
            generate_tool(yf.get_option_chain),
        ]
  • The MCP server.call_tool dispatcher that invokes the get_current_stock_price handler.
    case "get_current_stock_price":
        price = yf.get_current_stock_price(**args)
        return [TextContent(type="text", text=price)]
  • Helper function that generates the JSON schema for tools like get_current_stock_price by inspecting function signature and docstring.
    def generate_tool(func: Any) -> Tool:
        """Generates a tool schema from a Python function."""
        signature = inspect.signature(func)
        docstring = inspect.getdoc(func) or ""
        param_descriptions = parse_docstring(docstring)
    
        schema = {
            "name": func.__name__,
            "description": docstring.split("Args:")[0].strip(),
            "inputSchema": {
                "type": "object",
                "properties": {},
            },
        }
    
        for param_name, param in signature.parameters.items():
            param_type = (
                "number"
                if param.annotation is float
                else "string"
                if param.annotation is str
                else "string"
            )
            schema["inputSchema"]["properties"][param_name] = {
                "type": param_type,
                "description": param_descriptions.get(param_name, ""),
            }
    
            if "required" not in schema["inputSchema"]:
                schema["inputSchema"]["required"] = [param_name]
            else:
                if "=" not in str(param):
                    schema["inputSchema"]["required"].append(param_name)
    
        return Tool(**schema)
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 states the tool's function but doesn't describe traits such as rate limits, authentication needs, data freshness, error handling, or return format. This leaves significant gaps for a tool that likely interacts with external data sources.

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 with zero waste. It is appropriately sized for a simple tool and front-loads the key information without unnecessary elaboration.

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 doesn't address behavioral aspects like data source reliability, potential errors, or return structure. For a tool fetching real-time financial data, more context on limitations or usage constraints would be beneficial.

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 schema description coverage is 100%, with the parameter 'symbol' fully documented in the schema as 'Stock symbol in Yahoo Finance format.' The description adds no additional meaning 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 action ('Get') and resource ('current stock price') with the specific condition ('based on stock symbol'). It distinguishes from siblings like get_historical_stock_prices and get_stock_price_by_date by specifying 'current', but doesn't explicitly contrast them in the description text.

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 like get_stock_price_by_date or get_historical_stock_prices. It lacks any mention of prerequisites, exclusions, or comparative contexts with sibling tools.

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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