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tresor4k

macalc

calculate_compound_interest_monthly

Compute compound interest with monthly contributions for systematic savings. Input initial amount, monthly contribution, annual rate, and years to get final value, total contributed, and interest earned.

Instructions

Compute compound interest with monthly contributions (savings plan). Use for systematic savers. Inputs: initial amount, monthly contribution, annual rate %, years. Returns final value, total contributed, total interest. See list_bundles for related 'finance-universal' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
principalYesInitial capital EUR
monthly_contributionYesMonthly contribution EUR
annual_rateYesAnnual interest rate percent
yearsYesNumber of 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.
Behavior3/5

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

Without annotations, the description should fully disclose behavior. It mentions inputs and outputs but does not explicitly state compounding frequency (monthly assumed from title) or other nuances like rounding or precision. This is a slight gap.

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?

The description is three sentences, front-loaded with the core purpose. It is efficient and contains no unnecessary words.

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?

The description covers purpose, inputs, and outputs, and references related tools. However, it omits the compounding frequency (implied monthly by title). An output schema exists but is not shown; the description still provides reasonable completeness.

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 with parameter descriptions. The description lists the same parameters in a summary, adding little new semantic meaning. Baseline score of 3 is appropriate.

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 tool computes compound interest with monthly contributions for systematic savers. It distinguishes from sibling tools like 'calculate_compound_interest' by specifying monthly contributions.

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

Usage Guidelines4/5

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

The description advises 'Use for systematic savers' and points to 'list_bundles' for related calculators. It implies the use case but does not explicitly state when not to use (e.g., without monthly contributions).

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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