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yfinance-ai MCP server

yfinance-ai MCP server

by lkcair
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_financial_summary

Read-onlyIdempotent

Retrieve a one-page financial summary for a stock ticker, including price, valuation, financials, and analyst data.

Instructions

Get a comprehensive one-page financial summary of a stock.

Args: ticker: Stock ticker symbol

Returns: Comprehensive summary including price, valuation, financials, and analyst 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_summary"
  }
}

Input Schema

NameRequiredDescriptionDefault
tickerYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds no behavioral context beyond that, such as data freshness, rate limits, or caching. The 'Returns' sentence only restates output content, which is already covered by the output schema.

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 short and structured with 'Args' and 'Returns' sections, and the main purpose is front-loaded. The 'Returns' section is somewhat redundant given the output schema, but the text contains no filler.

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 getter with one parameter, rich annotations, and an output schema, the description covers the essentials: what it does and what the parameter means. However, it does not help the agent route among the many sibling summary tools, so it is only minimally complete in context.

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?

Schema description coverage is 0%, so the description must compensate. It provides only 'ticker: Stock ticker symbol,' which gives basic meaning but no format guidance (e.g., uppercase, exchange suffix, ticker length). For a single required parameter, this is minimally adequate.

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 states a clear verb and resource: 'Get a comprehensive one-page financial summary of a stock.' It is specific about scope, but it does not distinguish this from siblings like get_complete_analysis, get_company_overview, or get_key_ratios, so an agent cannot tell exactly when this summary is preferred over the many other financial summary tools.

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 gives no when-to-use guidance, no exclusions, and no alternatives. It only names the required parameter, leaving the agent to infer whether this tool is for a quick overview, a full analysis, or a specific type of financial data.

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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