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svkbogislav

LatAm Data MCP

by svkbogislav

Argentina Exchange Rates

argentina_exchange_rates

Retrieve current Argentine peso exchange rates for both official and blue markets, revealing the gap needed for pricing, invoicing, and purchasing decisions in Argentina.

Instructions

Get current Argentine peso (ARS) exchange rates: official vs "blue".

The gap between the official and informal (blue) rate is essential context for any pricing, invoicing or purchasing decision in Argentina.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.6.1

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It clearly communicates a read-only 'Get' operation and discloses that the tool returns both official and informal (blue) rates. It does not specify update frequency or data source, but for a simple, side-effect-free exchange-rate retrieval this is sufficient.

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 two sentences with no filler. It front-loads the core purpose and then adds valuable context about the official/blue gap in the second sentence. Every word earns its place.

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

Completeness4/5

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

For a zero-parameter tool with an output schema, the description is sufficiently complete for selection and invocation. It explains what the tool returns, the Argentina-specific relevance, and why the blue-rate gap matters. The only minor gap is data-update cadence, which is not essential for invoking the 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 input schema has zero parameters, so the baseline is 4. The description correctly avoids inventing parameter details and doesn't need to explain invocation arguments. Nothing is missing.

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

Purpose5/5

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

The description opens with a specific verb ('Get') and a specific resource ('current Argentine peso (ARS) exchange rates'), then immediately differentiates the tool from generic rate tools by naming the 'official vs blue' split. This clearly distinguishes it from siblings like currency_convert or latam_exchange_rates.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit context on when the tool is valuable: 'essential context for any pricing, invoicing or purchasing decision in Argentina.' It does not explicitly name alternatives or state when-not-to-use, but the Argentina-specific framing and the blue-rate distinction imply when this tool should be chosen over broader currency tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.