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get_public_holidays_range_latam

Read-onlyIdempotent

Get public holidays for a Latin American country within a date range. Use to calculate SLA periods, project timelines, or delivery windows across BR, MX, CL, AR, CO.

Instructions

Returns all public holidays that fall within a given date range for a specified Latin American country. Returns { country, start_date, end_date, total_holidays, holidays: [{date, name, name_en}] }. Supports BR, MX, CL, AR, CO. Use when calculating SLA periods, project timelines, delivery windows, or any workflow that must skip non-working days across LatAm countries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
country_codeYesTwo-letter ISO country code. Example: 'BR', 'MX', 'CL'
start_dateYesStart date in YYYY-MM-DD format. Example: '2026-01-01'
end_dateYesEnd date in YYYY-MM-DD format. Example: '2026-12-31'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNo
start_dateNo
end_dateNo
total_holidaysNo
holidaysNo
errorNo
Behavior3/5

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

Annotations already indicate readOnly and idempotent. The description adds return format details but does not disclose additional behavioral traits like rate limits or data freshness.

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 sentences plus use-case list, front-loaded, no wasted words. Every sentence adds value.

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?

With annotations and output schema implied, the description covers key aspects. Lacks differentiation from country-specific holiday tools but it mentions supported countries.

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 description adds only marginal value (supported countries list). The output structure in description aids understanding but does not significantly enhance parameter semantics.

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 clearly states it returns public holidays for a Latin American country within a date range, with a specific verb and resource. It lists supported countries and distinguishes from sibling tools like get_brazil_holidays.

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?

The description provides explicit use cases (SLA periods, project timelines) but does not mention when not to use or alternatives like country-specific holiday tools. Still, the context is clear.

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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