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Glama

Cambio Uruguay

Get exchange rates

get_rates

Current buy/sell rates for a currency across Uruguayan exchange houses (casas de cambio): market average, best buy/sell house, lowest spread, and the full per-house list. Excludes BCU and interbank quotes. Currency is an ISO code like USD, EUR, ARS, BRL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
currencyYesISO currency code, e.g. USD, EUR, ARS, BRL

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the disclosure burden. It reveals the data source (Uruguayan exchange houses), the temporal scope (current), and an important exclusion (BCU/interbank), which is beyond what the schema provides. It does not mention freshness, rate limits, or response ordering, but for a simple read operation the key behavioral boundaries are present.

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 tight sentences that front-load the core purpose and then add output details, exclusions, and parameter format. Every sentence earns its place with no redundant wording.

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 single-parameter read tool with no output schema, the description explains the main return contents sufficiently: averages, best house, spread, and full list. It does not specify exact response shape or error behavior, but those are minor for a simple rates lookup.

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 coverage is 100%, so the schema already documents the only parameter, currency, with an ISO-code description and examples. The description reinforces that currency is an ISO code like USD, EUR, ARS, or BRL, but adds no new semantics beyond the schema.

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 states a specific verb and resource: retrieving current buy/sell rates for a given currency across Uruguayan exchange houses. It enumerates concrete outputs (market average, best buy/sell house, lowest spread, per-house list) and explicitly excludes BCU/interbank quotes, making it easy to distinguish from 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 Guidelines4/5

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

The phrase 'Current buy/sell rates' provides clear context that this is the point-in-time snapshot tool, while the explicit exclusion of BCU and interbank quotes narrows when it applies. It does not name sibling alternatives such as get_evolution or best_house, so it stops short of explicit when/when-not guidance.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools cover clearly distinct tasks: conversion, historical data, news, summaries, and house listings. However, best_house overlaps with get_rates since get_rates already identifies the best buy/sell house, though best_house's narrower focus helps reduce ambiguity.

Naming Consistency4/5

The tool names generally follow a readable snake_case style, with many using a get_* prefix for data retrieval. A few names like best_house, convert, and daily_summary deviate from that pattern, but the naming remains predictable and easy to understand.

Tool Count5/5

Seven tools is a well-scoped size for a specialized Uruguayan exchange-rate server. Each tool contributes a distinct capability without unnecessary redundancy or bloat.

Completeness5/5

The surface covers the core domain well: current rates, best house selection, currency conversion, historical evolution, house listings, news, and AI-generated summaries. There are no obvious dead ends or missing operations for the server's stated purpose.