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NicolasAEV

MCP Mercado Público

by NicolasAEV

Consultas y Parámetros (API Mercado Público)

consultas

Learn the logical parameters and dictionaries accepted for querying licitaciones, ordenes_compra, proveedores, or compradores in Chile's public procurement system.

Instructions

Devuelve CÓMO realizar las consultas: qué parámetros lógicos se aceptan y los anexos/diccionarios (ej: qué número es "Licitación Pública").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entidadYesEntidad para la cual deseas conocer los parámetros y anexos de consulta.
Behavior3/5

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

With no annotations, the description carries the full burden. It indicates a safe read operation returning metadata, but does not elaborate on output format, scope, or any potential limitations.

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?

Single, clear sentence that is front-loaded and contains no extraneous information. Highly efficient.

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?

Given the tool's simplicity, the description is adequate but could mention the output format or that it provides dictionary mappings. Still well-functioning for its purpose.

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% with an enum and description for the parameter. The description adds no additional meaning beyond what is already in the schema.

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?

Description clearly states the tool returns metadata about how to perform queries and dictionaries. However, it does not explicitly distinguish it from sibling help tools like 'ayuda' or 'estructura'.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives such as 'ayuda' or 'estructura'. The description lacks any conditional or comparative advice.

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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