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lkcair

yfinance-ai MCP server

by lkcair

get_company_overview

Read-onlyIdempotent

Get a company overview for a stock ticker to understand key metrics with context and insights.

Instructions

Get a beautiful, insightful company overview with context for every metric. Perfect for quick overviews and basic questions about a company.

Args: ticker: Stock ticker symbol (e.g., 'AAPL', 'MSFT')

Returns: Beautifully formatted company overview with insights and context

Input Schema

NameRequiredDescriptionDefault
tickerYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds little beyond this – 'context for every metric' hints at content richness but discloses nothing about scope, data freshness, or limitations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded and short, but padded with duplicated promotional wording ('beautiful, insightful' in the body and 'Beautifully formatted ... with insights' in Returns). The Args/Returns scaffolding is boilerplate for a one-parameter tool.

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?

An output schema exists, so return values need not be explained, and there is only one required parameter – both reduce the burden. Still, for a tool sitting among many near-synonymous 'overview/info/fast_info' siblings, the description is not complete enough to guarantee correct selection.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% (the schema only says 'string / Ticker'), so the description must carry the load. It does supply meaning plus concrete examples ('AAPL', 'MSFT'), which is genuinely more than the schema offers. It stops short of format constraints, but adequately compensates for a single parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a verb+resource ('Get a ... company overview'), so the basic purpose is clear. However, it fails to distinguish itself from close siblings like get_company_info, get_fast_info, or get_financial_summary, leaving the agent to guess which 'overview' tool to pick. The 'beautiful, insightful' framing is marketing language rather than disambiguating scope.

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

Usage Guidelines3/5

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

'Perfect for quick overviews and basic questions about a company' gives implied usage context, but names no alternatives and states no exclusions. With a dense sibling set (get_company_info, get_fast_info, get_complete_analysis), explicit routing guidance is exactly what is missing.

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