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tresor4k

macalc

calculate_vacation_days_optimal

Compute optimal vacation usage by chaining bridge days with public holidays. Input vacation days, country, and year to receive the best plan with count of days off.

Instructions

Compute optimal vacation usage by chaining bridge days with public holidays. Use for HR or worker planning. Inputs: vacation days, country, year. Returns best plan with day count. See list_bundles for related 'voyage' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
public_holidays_countYesNumber of public holidays near weekends
vacation_days_availableYesAnnual vacation days available

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoComputed result. Object whose fields depend on the tool (e.g. {tax, marginal_rate, brackets} for tax tools, {volume_l, gallons} for volume tools).
formulaNoHuman-readable formula or method used (e.g. "I=P·r·t", "Magnus formula").
sourceNoAuthoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21").
reference_urlNoLink to a calcul2 page documenting the calculation in detail.
Behavior2/5

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

No annotations are provided, and the description only mentions the output (best plan with day count) without disclosing behavioral traits such as idempotency, side effects, or prerequisites. The output schema exists but the description does not leverage this to add behavioral insight.

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?

The description is concise (two sentences) and front-loads purpose and usage. However, it includes unnecessary or inaccurate details about inputs, reducing effectiveness.

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

Completeness2/5

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

The description is incomplete given the input mismatch and lack of behavioral context. Although the output schema exists, the description fails to accurately represent the tool's capabilities, especially missing parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for both parameters, but the description adds misleading information by mentioning 'country' and 'year' which are not in the schema. This harms the agent's understanding of valid inputs.

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 clearly states the tool computes optimal vacation usage by chaining bridge days with public holidays, distinguishing it from general vacation calculators. However, it mentions inputs (country, year) not present in the input schema, which causes confusion.

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

Usage Guidelines3/5

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

The description says 'Use for HR or worker planning' and references list_bundles for related calculators, providing moderate usage context. But it does not explicitly differentiate from similar tools like calculate_vacation_days_fr or specify when not to use this tool.

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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