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calvernaz

Alpha Vantage MCP Server

by calvernaz

realtime_bulk_quotes

Fetch real-time stock quotes for multiple symbols simultaneously to monitor current market prices and track portfolio performance.

Instructions

Fetch real time bulk quotes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolsYes
Behavior1/5

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 only states the action ('fetch') without detailing traits like rate limits, authentication needs, data freshness, or response format. This leaves critical operational aspects unspecified for a real-time data tool.

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 extremely concise with a single, front-loaded sentence: 'Fetch real time bulk quotes'. There is no wasted verbiage or unnecessary structure, making it efficient to parse.

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 complexity of real-time financial data fetching, no annotations, no output schema, and minimal parameter documentation, the description is incomplete. It lacks details on behavior, output format, and usage context, making it inadequate for an agent to invoke the tool effectively.

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

Parameters2/5

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

The input schema has 1 parameter with 0% description coverage, and the description adds no information about the 'symbols' parameter. It doesn't explain what symbols are expected (e.g., stock tickers, currency pairs), their format, or constraints, failing to compensate for the schema's lack of documentation.

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?

The description 'Fetch real time bulk quotes' clearly states the action (fetch) and resource (real time bulk quotes), providing a basic understanding of purpose. However, it doesn't differentiate from sibling tools like 'stock_quote' or 'realtime_options' that might also provide quote-related data, leaving ambiguity about what makes this tool unique.

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 offers no guidance on when to use this tool versus alternatives. With many sibling tools related to financial data (e.g., 'stock_quote', 'crypto_intraday', 'fx_intraday'), there's no indication of context, prerequisites, or exclusions to help an agent choose appropriately.

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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