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tresor4k

macalc

calculate_french_salary

Calculate net salary from French gross salary for 2026. Input monthly gross and employment status (cadre, non-cadre, civil servant). Get monthly and annual net pay, social contributions, and total employer cost.

Instructions

Convert French gross salary to net salary for 2026 (cadre, non-cadre, or civil servant). Returns monthly/annual net, social contributions, employer cost. See list_bundles for related 'finance-france' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gross_monthlyYesGross monthly salary in euros
statusNoEmployment statuscadre

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.
Behavior3/5

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

No annotations provided; description mentions returns monthly/annual net, social contributions, employer cost but not read-only nature or lack of side effects. Adequate for a calculator but not thorough.

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: first covers purpose and scope, second points to related bundle. Every word earns its place; no redundancy.

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?

For a calculator with output schema present, description adequately conveys inputs and outputs. Mentions 2026 specificity and sibling reference, leaving no critical gaps.

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 descriptions for both parameters. Description adds no extra meaning beyond recapping categories, so baseline 3 applies.

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?

Description clearly states the tool converts French gross salary to net salary for 2026, specifying cadre, non-cadre, or civil servant. It lists outputs and distinguishes from siblings via country and year specificity.

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?

Provides context for 2026 France salary conversion and references list_bundles for related calculators. Lacks explicit when-not-to-use but sufficiently guides usage.

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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