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get_stock_quote

Retrieve current stock price and quote data for any ticker symbol to support financial analysis and trading decisions.

Instructions

Get current price and quote data for a stock.

Args: ticker: Stock symbol (e.g. AAPL, SPY, TSLA)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 it 'Get[s] current price and quote data' but doesn't mention latency, rate limits, data sources, or error handling. For a read operation with zero annotation coverage, this leaves significant gaps in understanding how the tool 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, with the core purpose stated first and parameter details following in a clear 'Args:' section. It avoids unnecessary fluff, though the structure could be slightly more polished (e.g., using bullet points).

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 low complexity (one parameter) and the presence of an output schema (which handles return values), the description is adequate but not complete. It covers the basic purpose and parameter semantics but lacks behavioral details like data freshness or error cases, which are important for a financial data tool.

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?

The description adds meaningful context beyond the input schema, which has 0% description coverage. It explains that 'ticker' is a 'Stock symbol' and provides examples like 'AAPL, SPY, TSLA', clarifying the parameter's purpose and format. With only one parameter, this is sufficient to compensate for the schema's lack of descriptions.

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 with a specific verb ('Get') and resource ('current price and quote data for a stock'), making it easy to understand what it does. However, it doesn't explicitly differentiate from sibling tools like 'get_option_quote' or 'compare_tickers', which prevents 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. With siblings like 'get_option_quote' for options data and 'compare_tickers' for comparisons, the agent lacks context on selecting this tool for stock quotes over other related 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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