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tresor4k

macalc

calculate_french_salary

Read-onlyIdempotent

Convert a French gross salary to net pay for 2026, applying social contributions based on employment status (cadre/non-cadre/public sector).

Instructions

Convert a French gross salary to net salary for 2026, applying the social-contribution rates of the selected employment status. Use when the user knows their gross pay and wants their take-home pay in France. Inputs: gross_monthly (gross monthly salary in EUR) and optional status ('cadre', 'non-cadre' or civil servant — see the enum). Returns monthly and annual net, total social contributions, and employer cost. Read-only, deterministic estimate based on standard rates; individual company agreements may differ. For income tax on that salary, use calculate_french_income_tax.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoEmployment statuscadre
gross_monthlyYesGross monthly salary in euros
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description adds context that it's a deterministic estimate based on standard rates and that individual company agreements may differ, providing additional behavioral insight beyond annotations.

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?

Three sentences, front-loaded with purpose, no redundant information, and clear structure.

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?

Even without an output schema, the description lists return values (monthly and annual net, contributions, employer cost) and provides all necessary context: inputs, usage, limitations, and alternative tool.

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 baseline is 3. Description adds minimal extra context by restating schema descriptions and noting 'civil servant' as an alias for fonction_publique, but does not significantly enhance parameter understanding.

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?

Clearly states conversion from gross salary to net salary for French 2026 with specific employment statuses. Distinguishes from sibling tool calculate_french_income_tax by specifying that tool is for income tax.

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?

Explicitly states when to use ('user knows their gross pay and wants take-home pay in France') and provides a direct alternative for income tax calculation, showing 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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