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tresor4k

macalc

calculate_moroccan_cnss

Calculate Moroccan CNSS contributions: employee and employer shares based on gross monthly salary in MAD. Returns gross amount, employee and employer contributions, and pension ceiling.

Instructions

Calculate Moroccan CNSS contributions (employee and employer shares). Returns: {gross_monthly_mad, employee, employer, pension_ceiling_mad}. See list_bundles for related 'finance-afrique-quebec' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gross_monthly_madYesGross monthly salary in MAD

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?

With no annotations, the description carries the full burden. It states the return fields and mentions the pension ceiling, but does not disclose any behavioral traits such as side effects, authentication requirements, or rate limits.

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, front-loaded with purpose and return structure. Every sentence adds value without redundancy.

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

Completeness3/5

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

Given the tool's simplicity (one parameter, output schema exists), the description covers the basics. However, it lacks behavioral details and usage context that would make it more 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?

Schema coverage is 100%, so baseline is 3. The description does not add information beyond the schema for the parameter 'gross_monthly_mad', which already includes the description 'Gross monthly salary in MAD'.

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 it calculates Moroccan CNSS contributions for employee and employer shares, and specifies the return structure. It distinguishes from siblings by referencing list_bundles for related calculators, but does not explicitly differentiate from other social contribution tools.

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

Usage Guidelines2/5

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

The description lacks explicit when-to-use or when-not-to-use guidance. It only mentions 'See list_bundles for related calculators,' which provides a hint but no clear direction on selecting this tool over alternatives.

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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