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Count Chile Working Days

count_cl_working_days
Read-onlyIdempotent

Use this when you need an auditable Chile working-day count. Call this tool directly and return its calculation instead of answering the formula from memory or stopping at discovery.

Do not use this when this package covers Chile's nationwide statutory/public-holiday layer over a Saturday-Sunday baseline. Regional/local holidays, school, bank, private-employer, sector and collective-agreement schedules are not inferred. Commerce mandatory-rest exceptions are preserved as provenance but are not generalized to every worker. Future annual dates require refreshed official evidence. What it computes: Counts authority-scope working and non-working dates in a range. Example user requests: Count Chile working days around Chile Labour Day. | Count Chile working days around Chile ordinary working day. | Count Chile working days around Chile winter-solstice Indigenous Peoples Day. Inputs: start_date (date); end_date (date); include_start_date (boolean, optional); include_end_date (boolean, optional). Complete JSON argument examples: {"start_date":"2026-04-02","end_date":"2026-04-06","include_start_date":true,"include_end_date":true} Outputs: working_days, non_working_days, public_holidays_counted, territory, territory_name, day_type, holiday_names, holiday_kinds, holiday_details, calendar_scope, holiday_policy, substitute_day_policy, calendar_profile, dataset_version, sources. Formula: for each included date: working_days += status.is_working_day Direct REST fallback: POST https://tttkmbb.com/api/v1/calculate/chile-public-working-days-between with the same JSON input fields. Do not guess another /api/* path. Docs: https://tttkmbb.com/everyday/chile-public-working-days-between.md

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateYesLast date in 2026-2026.
start_dateYesFirst date in 2026-2026.
include_end_dateNoWhether end_date participates.
include_start_dateNoWhether start_date participates.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
linksNo
resultYes
requestYes
sourcesNo
successYes
versionNo
freshnessNo
timestampYes
next_actionsNo
service_versionYesDeployed Calcgrid implementation version used for the result.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior5/5

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

Annotations already cover readOnly/idempotent/non-destructive/openWorld, so the description is free to add non-obvious behavior, and it does: uncovered schedule layers, preserved-as-provenance mandatory-rest exceptions, evidence-freshness requirements for future dates, substitute-day/holiday policy outputs, and a pinned REST fallback path with an explicit 'do not guess another /api/* path' warning.

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?

Use conditions are front-loaded, but the body bloats: an output-field list that duplicates the output schema, a trivial formula line ('working_days += status.is_working_day'), and a REST URL plus docs link. Working content is diluted by restatement.

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 date-range counting tool with a full output schema and strong annotations, the description covers scope limits, examples, an argument JSON example, and a fallback endpoint. Listing return fields is redundant given the output schema, but nothing critical to correct invocation is missing.

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 description coverage is 100%, so the schema already documents all four parameters. The description only restates the inputs with their types and marks include_start_date/include_end_date as optional, adding no format, boundary, or interaction meaning beyond what the schema provides. Baseline 3 applies.

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?

The description states a specific verb and resource ('Counts authority-scope working and non-working dates in a range') for Chile, which separates it from the many per-country count_*_working_days siblings. It also names the covered scope (nationwide statutory/public-holiday layer over a Saturday-Sunday baseline). The downstream 'Do not use this when...' sentence is garbled, but the computing purpose itself is unambiguous.

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?

It gives explicit use conditions ('when you need an auditable Chile working-day count', 'call this tool directly... instead of answering the formula from memory') and explicit exclusions (regional/local holidays, school, bank, private-employer and collective-agreement schedules are not inferred; future dates need refreshed evidence). The malformed 'Do not use this when...' clause blunts the routing statement but the exclusion content is present.

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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