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MaCalculatriceEnLigne

calculate_belgian_social_contributions

Calculate Belgian self-employed social contributions (cotisations INASTI). Returns: {annual_income, tier1_up_to_73850_at_20_5pct, tier2_73850_to_108785_at_14_16pct, tier3_above_108785, total_contributions, effective_rate_pct}. See list_bundles for related 'finance-belgique' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
annual_incomeYesAnnual net professional income 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).
sourceNoAuthoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21").
formulaNoHuman-readable formula or method used (e.g. "I=P·r·t", "Magnus formula").
reference_urlNoLink to a calcul2 page documenting the calculation in detail.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as being read-only, authentication needs, or side effects. The description relies on the tool name implying a calculation, but fails to explicitly confirm it is safe.

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 concise with two sentences, but the first sentence is dense with return field names. It is not overly verbose and effectively communicates the tool's purpose.

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?

For a simple one-parameter calculation tool with implied output schema, the description covers the function and return fields. It lacks mention of assumptions or limitations (e.g., legal context), but is mostly complete.

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?

The input schema has 100% coverage for the single parameter, describing it as 'Annual net professional income in euros'. The description does not add further semantics beyond what the schema provides, meeting the baseline.

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 verb 'Calculate' and the resource 'Belgian self-employed social contributions (cotisations INASTI)', and lists specific return fields, making it distinct from sibling calculator tools.

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 only mentions 'See list_bundles for related ''finance-belgique'' calculators', which implies context but does not explicitly specify when to use this tool vs alternatives or any prerequisites.

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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