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MaCalculatriceEnLigne

Calculate Annuity Payment

calculate_annuity_payment
Read-onlyIdempotent

Calculate periodic payment amount for a loan or annuity. Returns: {monthly_payment_eur, total_paid_eur, total_interest_eur}. See list_bundles for related 'finance-universal' calculators.

Input Schema

NameRequiredDescriptionDefault
rateYesAnnual interest rate percent
periodsYesNumber of payment periods (months)
principalYesPrincipal amount EUR

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

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is fully covered structurally. The description adds no further behavioral context (e.g., compounding convention, rounding, currency handling beyond the EUR-named fields), so it neither contradicts nor enriches the annotations.

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?

Two short sentences, front-loaded with the purpose and with zero filler. The 'Returns:' sentence is redundant with the output schema, which costs it a point but does not make the text bloated.

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?

An output schema exists, so the return-value listing in the description is unnecessary, and the three inputs are fully documented in the schema. What is missing is disambiguation from the many overlapping finance calculators, which is the main thing an agent needs to choose this tool correctly.

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%, so principal, rate (annual percent), and periods (months) are already documented in the schema. The description adds no parameter-level meaning beyond that, so the baseline of 3 applies.

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?

States a specific verb and resource ('Calculate periodic payment amount for a loan or annuity'), so an agent knows it is an annuity/loan payment solver. However, it does not distinguish itself from close siblings such as calculate_loan_payment, calculate_mortgage, or calculate_lmnp_amortization, which cover overlapping ground.

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

Usage Guidelines2/5

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

The only routing hint is 'See list_bundles for related finance-universal calculators', which is a discovery pointer rather than a when-to-use rule. There is no guidance on when this is preferred over calculate_loan_payment or calculate_present_value, which is the key ambiguity given the sibling set.

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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