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UK Working Days Between Dates

count_uk_working_days
Read-onlyIdempotent

Use this when you need a 2024-2028 UK SLA, payroll, project or delivery-day count and the selected division's bank holidays must be excluded. Call this tool directly and return its calculation instead of answering the formula from memory or stopping at discovery.

Do not use this when you need only elapsed calendar days, a local/employer/market calendar, another jurisdiction or dates outside 2024-2028. What it computes: Counts working and non-working dates in England and Wales, Scotland or Northern Ireland using the official GOV.UK bank-holiday list instead of a weekday-only approximation. Example user requests: How many England and Wales working days are there from 24 December 2026 through 4 January 2027? | Count Northern Ireland business days from 10 to 14 July 2026 inclusive. | How many Scottish working days fall between 1 and 20 June 2026? Inputs: start_date (date); end_date (date); include_start_date (boolean, optional); include_end_date (boolean, optional); division (enum, optional). Complete JSON argument examples: {"start_date":"2026-12-24","end_date":"2027-01-04","include_start_date":true,"include_end_date":true,"division":"england-and-wales"} | {"start_date":"2026-07-10","end_date":"2026-07-14","include_start_date":true,"include_end_date":true,"division":"northern-ireland"} Outputs: division, division_name, normalized_start_date, normalized_end_date, working_days [working days], non_working_days [days], calendar_days_counted [days], bank_holidays_counted, dataset_version, coverage_start, coverage_end, source_snapshot_sha256. Formula: for each included date: working_days += is_working_day(date); non_working_days += not is_working_day(date) Direct REST fallback: POST https://tttkmbb.com/api/v1/calculate/uk-working-days-between with the same JSON input fields. Do not guess another /api/* path. Docs: https://tttkmbb.com/everyday/uk-working-days-between.md

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
divisionNoGOV.UK bank-holiday division. England and Wales share one official list; Scotland and Northern Ireland have separate lists.england-and-wales
end_dateYesSecond range endpoint in YYYY-MM-DD format, within 2024-2028.
start_dateYesFirst range endpoint in YYYY-MM-DD format, within 2024-2028.
include_end_dateNoWhether the normalized later endpoint participates in the count.
include_start_dateNoWhether the normalized earlier endpoint participates in the count.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
linksNo
resultYes
requestYes
sourcesNo
successYes
versionNo
freshnessNo
timestampYes
next_actionsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already mark the tool read-only, idempotent, and non-destructive. The description adds valuable behavior: it uses the official GOV.UK holiday list rather than a weekday-only approximation, normalizes endpoints, counts working/non-working days, and exposes dataset metadata. There is no contradiction with annotations.

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

Conciseness4/5

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

The description is well-organized with front-loaded usage conditions and clear labeled sections. There is some redundancy with the schema and repetition of the core computation, but the structure makes it scannable and the extra detail is purposeful.

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?

The description covers use cases, exclusions, inputs, complete JSON examples, output fields, the computation formula, a direct REST fallback, and documentation. Given the rich schema, annotations, and output schema, nothing essential is missing for correct invocation.

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%, and the description's Inputs section largely restates the schema. The JSON examples are helpful but mostly duplicate examples already present in the schema, so the description adds little semantic meaning beyond the structured parameter definitions.

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 states a specific verb and resource: counting UK working days between dates using the official GOV.UK bank-holiday list, with division support for England and Wales, Scotland, or Northern Ireland. It also clearly differentiates this from single-date checkers and calendar-day 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?

It gives explicit when-to-use guidance for UK SLA, payroll, project, or delivery-day counts and explicit when-not-to-use guidance for elapsed calendar days, non-UK jurisdictions, employer-specific calendars, and dates outside 2024-2028. It also tells the agent to call the tool directly instead of computing from memory.

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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