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tresor4k

macalc

calculate_simple_interest

Calculate simple interest for short-term loans, savings accounts, or homework. Enter principal, annual rate (%), and years to get interest amount and final balance.

Instructions

Compute simple interest I=P·r·t. Use for short-term loans, basic savings accounts, and homework. Returns interest amount and final balance. See list_bundles for related 'finance-universal' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
principalYesInitial amount
annual_rateYesAnnual interest rate in %
yearsYesDuration in years

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?

No annotations provided, but description accurately describes computation and return values. As a calculator, it's inherently non-destructive. Could mention it has no side effects, but not misleading.

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, compact and efficient. Every sentence adds value: formula, use cases, return values, pointer to related tools.

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 low complexity and presence of output schema (implied), description covers core behavior. Could mention precision/rounding but not essential.

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 descriptions for all 3 parameters. Description adds the formula context but no additional parameter semantics beyond the schema.

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?

Clearly states it computes simple interest with the formula I=P·r·t. Mentions use cases (short-term loans, savings, homework) and return values. Does not explicitly differentiate from compound interest tools, but the name implies distinction.

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?

Provides use case guidance ('short-term loans, basic savings accounts, and homework') and mentions related calculators via list_bundles. Lacks explicit when-not-to-use or direct 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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