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tresor4k

macalc

calculate_belgian_salary

Compute net salary from gross monthly salary in Belgium, factoring in social contributions and professional withholding tax.

Instructions

Convert Belgian gross monthly salary to net salary (approximation). Returns: {gross_monthly, social_cotisations_13_07pct, special_social_contribution, professional_withholding_tax, net_monthly, net_annual, ...}. See list_bundles for related 'finance-belgique' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gross_monthlyYesGross monthly salary in euros

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.
Behavior4/5

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

With no annotations, the description provides key behavioral context: it is an approximation, returns multiple net salary components, and uses Belgian rules. However, it does not disclose the tax year or assumptions, which would improve transparency.

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?

The description is two sentences, front-loading the purpose and then listing outputs and a reference. No wasted words.

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?

Given the single parameter and the output field listing, the description is largely complete. However, it could mention limitations (e.g., employee vs self-employed) or that rates are dynamic.

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 parameter 'gross_monthly' described. The tool description does not add semantic meaning beyond the schema, so a baseline score of 3 is appropriate.

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 clearly states the tool converts Belgian gross monthly salary to net salary, using a specific verb ('Convert') and resource. It distinguishes itself from sibling tools like 'calculate_belgian_income_tax' by focusing on salary conversion and referencing a related bundle.

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 mentions 'See list_bundles for related finance-belgique calculators,' which hints at related tools but does not explicitly specify when to use this tool versus alternatives. It lacks exclusions or guidance on limitations.

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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