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tresor4k

macalc

calculate_insurance_estimate

Estimate annual car insurance premium from vehicle value, driver age, and bonus-malus coefficient. Returns annual and monthly costs in EUR.

Instructions

Estimate annual car insurance from vehicle value, driver age and bonus-malus. Returns: {annual_premium_eur, monthly_eur, note}. See list_bundles for related 'auto-transport' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vehicle_valueYesVehicle value EUR
driver_ageYesDriver age
bonus_malus_coefficientNoBonus-malus (0.5=best, 3.5=worst)

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?

No annotations are provided, so the description must cover behavioral traits. It only says 'Estimate' and lists outputs; it does not disclose whether this is a read-only operation, if authentication is needed, or any side effects.

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, no wasted words. First sentence covers purpose and inputs, second sentence provides output format and a cross-reference. Perfectly front-loaded.

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 (3 params, output schema exists), the description covers core functionality and output format. However, it lacks context on the estimation model, optional parameter behavior, and when to prefer this over siblings.

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 has 100% coverage with descriptions for all three parameters. The description paraphrases inputs but adds no new semantic meaning beyond what the schema already provides.

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?

Description clearly states 'Estimate annual car insurance' with explicit inputs (vehicle value, driver age, bonus-malus). It immediately distinguishes from sibling 'calculate_travel_insurance_estimate' by specifying car insurance.

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 implies usage for car insurance estimation and mentions 'See list_bundles for related auto-transport calculators' as an alternative pointer, but it lacks explicit when-to-use or when-not-to-use guidance.

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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