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tresor4k

macalc

calculate_real_estate_agency_fees

Compute French real estate agency fees based on a sliding scale from the property sale price. Get the exact fees and scale applied.

Instructions

Calculate French real estate agency fees using sliding scale. Returns: {agency_fees, scale}. See list_bundles for related 'immobilier' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sale_priceYesProperty sale price in EUR

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.
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral transparency. It only mentions the calculation method and return format, but does not disclose side effects, required permissions, rate limits, or whether it is read-only. This is insufficient.

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 consists of two concise sentences that front-load the key action and return values, with no extraneous information.

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?

The description covers the purpose and returns, and points to related calculators. However, it lacks usage guidelines and behavioral context, making it somewhat incomplete for an agent to fully understand when and how to use it.

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 already provides a clear description for the single parameter 'sale_price'. The tool description does not add additional meaning beyond what the schema provides, so the 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 verb 'Calculate', the specific resource 'French real estate agency fees', and the method 'using sliding scale'. It also mentions the return values and directs to a bundle for related calculators, distinguishing it from the numerous sibling tools.

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 implies the tool is used for calculating French real estate agency fees, but it does not explicitly state when to use it vs alternatives or provide any 'when not to use' guidance. The mention of 'list_bundles' for related calculators offers partial context.

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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