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Próximos remates de hacienda

list_remates
Read-onlyIdempotent

Calendario de próximos remates de hacienda en Argentina: solo programados, fecha ≥ hoy, ordenados por fecha. Devuelve fecha, hora, consignataria, localidad/provincia, categoría principal y si hay transmisión en vivo. Params: provincia (subcadena, opcional), limite (default 10, máx 50). No da precios ni INMAG: usá get_precios_hacienda/get_indice_novillo.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limiteNoMáximo de remates (default 10)
provinciaNoFiltra por provincia (ej. "Buenos Aires")

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description adds behavioral constraints like only future dates, ordering, and return fields, providing useful context beyond 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?

Three dense sentences with no filler. Front-loaded purpose, clear info on return fields, parameters, and alternatives. Every sentence adds value.

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

Completeness5/5

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

Fully compensates for lack of output schema by listing return fields. Covers constraints, ordering, parameters, and tool scope. Adequately complete for a read-only list 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?

Schema coverage is 100%, but description adds semantic detail: 'provincia' accepts substring matching, 'limite' has default 10 and max 50. This enriches the agent's understanding beyond schema descriptions.

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?

Clearly states it's a calendar of upcoming cattle auctions in Argentina, with specific fields returned. Distinguishes from siblings by explicitly excluding price data and directing to other tools.

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

Usage Guidelines5/5

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

Provides explicit usage context: only scheduled auctions from today forward, sorted by date, optional filtering by provincia and limite. Clearly states what the tool does not do (prices/INMAG) and names alternatives (get_precios_hacienda, get_indice_novillo).

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

A4.4/5.0
Disambiguation5/5

Each tool targets a specific, well-defined aspect of the cattle market domain. Overlaps are minimal and clearly disambiguated in descriptions (e.g., get_precios_hacienda vs. get_precios_detallados vs. get_indice_novillo). Even similar-sounding tools like calcular_arrendamiento and valuar_arrendamiento_campo have distinct purposes (simple calculation vs. valuation with currency options).

Naming Consistency3/5

Tool names mix Spanish and English verb patterns (e.g., 'get_indice_novillo' vs. 'buscar_consignataria', 'contratar_pro_consignataria' vs. 'list_remates'). While each subgroup (sanidad_*, get_*) maintains internal consistency, the overall naming is not unified. However, names are still descriptive and readable.

Tool Count5/5

With 22 tools, the server covers a broad domain (prices, health, directories, valuations, alerts) without feeling bloated. Each tool earns its place, providing meaningful functionality. The count is well-scoped for the Argentine cattle market context.

Completeness5/5

The tool surface covers the full lifecycle: market data (prices, indices, historical), consignment and slaughterhouse directories, health regulations and movement requirements, valuation tools, alerts, and even a buyer matching service. There are no obvious gaps for the stated purpose of a cattle market MCP server.

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