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NonmaskableInt

AlphaVantage MCP Server

get_company_overview

Retrieve fundamental company data and financial overview for any publicly traded stock using its ticker symbol.

Instructions

Get company fundamentals and overview.

        Args:
            symbol: Stock symbol to get overview for (e.g., AAPL, MSFT)
        

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
errorNo
successYes
timestampNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'Get[s]' data, implying a read-only operation, but doesn't clarify aspects like authentication needs, rate limits, error handling, or what 'fundamentals and overview' entails beyond the name. For a tool with zero annotation coverage, this leaves significant gaps in understanding how it behaves.

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 appropriately sized and front-loaded: the first sentence states the core purpose clearly. The Args section is structured but could be more integrated; overall, it avoids unnecessary verbosity, though the formatting with indentation is slightly awkward.

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?

Given the tool's moderate complexity (single parameter, financial data retrieval) and the presence of an output schema (which handles return values), the description is minimally complete. It covers the basic purpose and parameter, but lacks behavioral details and usage guidelines, making it adequate but with clear gaps for effective agent use.

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 minimal semantic value beyond the input schema. It explains the 'symbol' parameter as 'Stock symbol to get overview for (e.g., AAPL, MSFT)', which provides examples and clarifies it's for stocks, but the schema already defines it as a required string titled 'Symbol'. With 0% schema description coverage, this partial explanation doesn't fully compensate, but it's better than nothing, meeting the baseline.

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 tool's purpose: 'Get company fundamentals and overview' - a specific verb ('Get') and resource ('company fundamentals and overview'). It distinguishes itself from siblings like get_balance_sheet or get_income_statement by focusing on general overview rather than specific financial statements. However, it doesn't explicitly contrast with get_market_news or get_technical_indicators, keeping it from 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. It doesn't mention prerequisites, context for selection among siblings (e.g., use this for a high-level summary vs. get_balance_sheet for detailed assets/liabilities), or any exclusions. The agent must infer usage from the purpose 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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