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MissionSquad

MCP Avantage

by MissionSquad

forex_exchangeRates

Get real-time exchange rates for currency pairs to calculate conversion values for international transactions or financial analysis.

Instructions

Fetches the realtime exchange rate for a currency pair (e.g., EUR to USD).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
from_currencyYesThe currency symbol to convert from (e.g., "EUR").
to_currencyYesThe currency symbol to convert to (e.g., "USD").

Implementation Reference

  • The handler and registration for the 'forex_exchangeRates' tool. The execute function calls executeAvantageTool, which invokes the Alpha Vantage forex.exchangeRates API with from_currency and to_currency parameters.
    server.addTool({
      name: "forex_exchangeRates",
      description:
        "Fetches the realtime exchange rate for a currency pair (e.g., EUR to USD).",
      parameters: schemas.ForexExchangeRateParamsSchema,
      execute: (
        args,
        context // Let type be inferred
      ) =>
        executeAvantageTool("forex_exchangeRates", args, context, (av, params) =>
          av.forex.exchangeRates(params.from_currency, params.to_currency)
        ),
    });
  • Zod schema defining input parameters for the forex_exchangeRates tool: from_currency and to_currency.
    export const ForexExchangeRateParamsSchema = z.object({
        from_currency: z.string().describe('The currency symbol to convert from (e.g., "EUR").'),
        to_currency: z.string().describe('The currency symbol to convert to (e.g., "USD").'),
    }).describe('Parameters for fetching Forex exchange rates.')
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 mentions 'realtime exchange rate', which implies current data, but doesn't specify data sources, accuracy, rate limits, authentication needs, or error handling. For a data-fetching tool with zero annotation coverage, this is a significant gap in behavioral context.

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 a single, efficient sentence with zero waste. It's front-loaded with the core purpose and includes a helpful example, making it easy to parse quickly.

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 financial data tools and the lack of annotations and output schema, the description is incomplete. It doesn't address return values, error cases, data freshness, or how it differs from sibling tools. This leaves the agent with insufficient context for reliable 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?

Schema description coverage is 100%, with clear parameter descriptions in the input schema. The description adds minimal value beyond the schema by implying currency pair usage with an example, but doesn't provide additional syntax, format details, or constraints. This meets the baseline score when schema coverage is high.

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 ('Fetches') and resource ('realtime exchange rate for a currency pair'), and provides an example ('e.g., EUR to USD'). However, it doesn't explicitly distinguish this tool from sibling tools like 'crypto_exchangeRates' or other forex tools (e.g., 'forex_daily'), which might offer similar functionality with different timeframes or data types.

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 sibling tools like 'forex_daily' or 'crypto_exchangeRates', nor does it specify prerequisites, constraints, or typical use cases. This leaves the agent without context for tool selection.

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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