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tresor4k

macalc

calculate_condominium_charges

Compute an owner's share of condominium charges from the total budget and ownership percentage. Returns annual and monthly amounts for syndic or owner verification.

Instructions

Compute one owner's share of condominium charges from the budget and tantièmes. Use for syndic or owner verification. Inputs: total budget, tantièmes-owned, total tantièmes. Returns annual and monthly share. See list_bundles for related 'immobilier' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
total_chargesYesTotal annual condominium charges EUR
ownership_share_pctYesOwnership share (tantièmes) percent

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?

No annotations are provided, so the description must carry the full burden. It discloses that the tool returns 'annual and monthly share' but lacks details on side effects, authorization requirements, or edge cases.

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 concise (two sentences plus a reference) and front-loaded with the key purpose, making it efficient for an AI agent to parse.

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 tool has an output schema, so return values are likely documented. The description mentions the output (annual and monthly share) and inputs. It references list_bundles for related calculators, aiding discoverability. However, it lacks mention of edge cases like zero or negative inputs.

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%, so parameters are well-documented in the schema. The description adds some context ('total budget, tantièmes-owned, total tantièmes') but slightly misaligns with schema names (ownership_share_pct vs. tantièmes), which could cause confusion.

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's purpose: 'Compute one owner's share of condominium charges' and specifies the context ('syndic or owner verification'). It also differentiates from siblings by referencing list_bundles for related calculators.

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?

The description provides usage context ('Use for syndic or owner verification') but does not explicitly state when not to use the tool or mention alternative tools beyond a vague reference to 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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