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Glama

Cambio Uruguay

Get market news

get_news

Latest Uruguayan dollar/economy headlines (Google News), de-duplicated and newest first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax headlines (default 12)

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It discloses the data source (Google News), the deduplication behavior, and the sort order (newest first), which are the notable traits for a news fetcher. It omits minor operational details like caching or network behavior, but the core behaviors are visible.

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?

A single sentence packs the source, scope, deduplication, and ordering without filler. The most important qualifier ('Latest') is front-loaded, and every clause 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 one-parameter, read-only headline fetcher, this is nearly complete: scope, source, and result properties (deduplicated, sorted) are all present. The only minor gap is that no output schema exists and the description does not explicitly describe the headline item structure, though 'headlines' implies the expected content.

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 for the only parameter (limit) is 100%, including default and maximum, so the description does not need to add parameter details. The description adds context about result ordering but nothing about the limit parameter, which is acceptable at the baseline.

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 uses a specific verb-resource pair ('get' news) and narrows the scope to 'Uruguayan dollar/economy headlines' from Google News, making the purpose unmistakable. It also mentions deduplication and newest-first ordering, which clearly distinguishes it from sibling tools like get_rates or daily_summary.

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?

The description implies the tool is for retrieving current Uruguayan dollar/economy headlines, so an agent can infer when to use it. However, it does not explicitly state when not to use it or mention any sibling alternative, leaving routing to inference.

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.