MaCalculatriceEnLigne

calculate_simple_interest

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

Name	Required	Description
`years`	Yes	Duration in years
`principal`	Yes	Initial amount
`annual_rate`	Yes	Annual interest rate in %

Output Schema

TableJSON Schema

Name	Required	Description
`result`	No	Computed result. Object whose fields depend on the tool (e.g. {tax, marginal_rate, brackets} for tax tools, {volume_l, gallons} for volume tools).
`source`	No	Authoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21").
`formula`	No	Human-readable formula or method used (e.g. "I=P·r·t", "Magnus formula").
`reference_url`	No	Link to a calcul2 page documenting the calculation in detail.

Schema Changelog

Changes observed during successful MCP inspections.

First observedJul 13, 2026

TDQS

A4.1/5.0

Behavior3/5

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

With no annotations, the description adds value by stating it returns interest amount and final balance. However, it does not disclose potential limitations like rounding, precision, or boundary conditions, which are important for a computation tool.

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 with no wasted words. The first sentence defines the formula and use, the second specifies output and provides an alternative reference. Highly efficient.

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

Completeness5/5

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

Given the presence of an output schema (not shown but context says true), the description adequately covers purpose, usage, parameters, and output. It is complete for a simple financial calculation tool.

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?

Input schema covers 100% of parameters with descriptions. The description adds the formula I=P·r·t, which relates parameters but is not essential beyond the schema. Value added is modest.

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 simple interest using the formula I=P·r·t, identifies specific use cases (short-term loans, basic savings, homework), and distinguishes it from other calculators by referencing list_bundles for related tools.

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 explicitly states when to use the tool (short-term loans, basic savings, homework) and points to list_bundles for related calculators like 'finance-universal' ones, providing clear context and 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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