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Cambio Uruguay

AI market summary

daily_summary
Read-onlyIdempotent

AI-generated analysis of the Uruguayan exchange market. Without a currency, a whole-market summary; with one, a per-currency analysis. lang is es | en | pt.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "daily_summary"
  }
}

Input Schema

NameRequiredDescriptionDefault
langNoLanguage (default es)
currencyNoOptional ISO code for a per-currency analysis, e.g. USD

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

The annotations already establish read-only, idempotent, non-destructive, and open-world behavior. The description adds useful conditional behavior about how the output changes with and without the currency parameter, without contradicting the annotations.

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?

Two tight sentences with no wasted wording. The main resource and conditional behavior are front-loaded and immediately usable.

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 two-optional-parameter, no-output-schema summary tool, the description covers what the tool returns, how currency changes scope, and available languages. It could say a bit more about the nature of the generated analysis, but it is largely complete.

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 both parameters, including the lang enum and optional currency ISO code. The description reinforces the currency conditional but adds little beyond the schema's own parameter descriptions.

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 names a specific resource, the Uruguayan exchange market, and a specific output type, AI-generated analysis. It also distinguishes whole-market versus per-currency behavior, though it does not explicitly name sibling alternatives such as get_rates.

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

Usage Guidelines3/5

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

It explains the conditional usage: omit currency for a whole-market summary, provide currency for a per-currency analysis. However, it gives no explicit guidance on when to choose this tool over related siblings like get_rates, get_evolution, or get_news.

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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