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Alpha Vantage MCP Server

Alpha Vantage MCP Server

by calvernaz
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

exchange_rate

Fetch real-time currency exchange rates between two specified currencies using Alpha Vantage financial data.

Instructions

Fetch exchange rate

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": {
      "from_currency": "<from_currency>",
      "to_currency": "<to_currency>"
    },
    "name": "exchange_rate"
  }
}

Input Schema

NameRequiredDescriptionDefault
from_currencyYes
to_currencyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.7/5.0
Behavior1/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. 'Fetch exchange rate' provides minimal behavioral information - it doesn't indicate whether this is real-time or historical data, what data source is used, rate limits, authentication requirements, or what format the response takes. For a financial data tool with zero annotation coverage, this is inadequate.

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 maximally concise with just two words. While it's under-specified, it's not verbose or poorly structured. Every word earns its place, though more words would be needed for a complete description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of financial data tools, zero annotation coverage, 0% schema description coverage, no output schema, and 100+ sibling tools, this description is completely inadequate. It doesn't provide enough information for an AI agent to understand when or how to use this tool effectively compared to alternatives.

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

Parameters1/5

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

Schema description coverage is 0%, meaning neither parameter (from_currency, to_currency) has any documentation in the schema. The description provides no information about these parameters - no examples, no format requirements (currency codes like USD/EUR), no constraints. The description fails to compensate for the complete lack of schema documentation.

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

Purpose2/5

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

The description 'Fetch exchange rate' is a tautology that essentially restates the tool name 'exchange_rate'. While it includes a verb ('fetch'), it doesn't specify what resource or data is being fetched beyond what's implied by the name. It doesn't distinguish this tool from its many financial/economic sibling tools.

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

Usage Guidelines1/5

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 100+ sibling tools including various financial data tools (fx_daily, fx_intraday, etc.), there's no indication of what makes this tool distinct or when it should be preferred over similar 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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