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MaCalculatriceEnLigne

Calculate Smoking Savings

calculate_smoking_savings
Read-onlyIdempotent

Compute money and health time saved by quitting smoking. Use for motivation and budgeting. Inputs: cigarettes/day, pack price. Returns daily/monthly/yearly savings and life-time recovered. See list_bundles for related 'sante' calculators.

Input Schema

NameRequiredDescriptionDefault
pack_priceYesPrice per pack
cigarettes_per_dayYesCigarettes smoked per day
cigarettes_per_packNoCigarettes per pack

Output 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

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered without the description. The description adds a useful input/output summary and notes a 'life-time recovered' computation, but never discloses the underlying model or assumptions behind that health estimate.

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?

Four short sentences, front-loaded with the core computation before inputs, outputs, and the cross-reference. Little waste, though the list_bundles pointer is marginally outside the tool's own scope.

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 deterministic calculator with full annotations and an output schema, the definition covers purpose, usage context, inputs, and return shape, so an agent can call it correctly. Only the health-savings model assumptions are left implicit.

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 description coverage is 100% and an output schema exists, so the baseline is 3. The description names two of the three parameters ('cigarettes/day, pack price') and omits cigarettes_per_pack (default 20), adding no format or unit detail beyond the schema.

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?

States a specific verb and resource: computing money and health-time saved by quitting smoking, with the key inputs and outputs named. Within a sibling set of ~350 calculators, 'smoking savings' (money + recovered life time) is unambiguous and cannot be confused with any sibling such as calculate_bac_points or calculate_led_savings.

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?

'Use for motivation and budgeting' supplies a context but no conditions, exclusions, or alternatives. The 'See list_bundles for related sante calculators' line is a discovery hint rather than routing guidance for 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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