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tresor4k

macalc

calculate_rent_ratio

Compute your rent-to-income ratio to assess housing affordability. Input monthly rent and gross income to get a percentage and verdict, following the 33% rule.

Instructions

Compute the rent-to-income ratio. Use to assess housing affordability (rule of thumb: keep under 33%). Inputs: monthly rent, monthly gross income. Returns rent ratio % and verdict. See list_bundles for related 'immobilier' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rentYesMonthly rent
incomeYesMonthly income

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?

With no annotations, description discloses key behavioral traits: inputs (monthly rent, income) and outputs (rent ratio % and verdict), providing sufficient transparency for a simple calculation 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 concise sentences front-load the core purpose and usage, with no redundant information, making it highly efficient.

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 tool's simplicity and presence of an output schema, the description adequately covers input, output, and purpose; slightly lacking in explicit output structure, but not necessary.

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 already matching parameter names and meanings; description adds no new semantic detail beyond restating them, earning a baseline score.

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 'Compute the rent-to-income ratio' with specific verb and resource, and explicitly distinguishes its purpose for housing affordability assessment, setting it apart from sibling calculators.

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?

Provides clear usage context ('Use to assess housing affordability') and a rule of thumb (under 33%), but lacks explicit when-not-to-use or alternative tool mentions; only indirectly points to related calculators via 'list_bundles'.

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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