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Consignatarias · Argentine Cattle Market

Brecha del novillo contra EE.UU., Uruguay y Australia

international_price_gap
Read-onlyIdempotent

La brecha: cuánto más barato (o más caro) está el novillo argentino contra Estados Unidos, Uruguay y Australia, en dólares por kilo VIVO. Es la pregunta del que mira el país desde afuera para comprar hacienda o campos, y no la publica nadie armada. ⚠️ Argentina NO es la más barata de la región: opera por ENCIMA de Brasil, así que la brecha defendible es contra el hemisferio norte y Uruguay, no contra el vecino. No se estima rendimiento de carcasa en ningún país: sólo entran fuentes que publican peso vivo. [EN] How much cheaper (or dearer) Argentine cattle is versus the US, Uruguay and Australia, in USD per live kilogram. Live weight everywhere — no carcass yield assumptions.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description goes beyond that with real methodological disclosure: live weight only in every country, no carcass-yield estimation, and only sources that publish live weight are admitted.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core definition is front-loaded and the warning about Brazil is well placed, but the full Spanish text is then repeated in English, and phrases like 'no la publica nadie armada' add flavor rather than information. Roughly half the length is duplication.

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

Completeness3/5

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

Good on units (USD per live kg) and country coverage, but there is no output schema and the description never says what the response looks like or what period it covers — current snapshot versus a historical series. For a remote data tool with openWorldHint, that is a meaningful gap for correctly framing the result.

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 tool takes no parameters, so there is nothing for the description to disambiguate beyond the implicit unit and country scope, which it does state. Baseline for a zero-parameter tool.

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?

States the exact metric: the Argentine steer price gap versus the US, Uruguay and Australia, expressed in USD per live kilogram. The resource and unit are unambiguous, but no sibling tool (e.g. livestock_prices, cattle_price_index) is ever named, so the separation from those is left implicit.

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?

Frames the use case clearly as the question asked by someone outside the country looking to buy cattle or farmland, and adds a concrete scope caveat that the gap is defensible against the northern hemisphere and Uruguay but not against Brazil. No explicit when-not-to-use or alternative-tool routing is given, though.

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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