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tresor4k

macalc

calculate_carpet_flooring

Compute carpet flooring cost including waste margin for renovation budgets. Enter room length, width, price per m², and waste percentage to get total cost and area to order.

Instructions

Compute flooring cost including waste margin. Use for renovation budget. Inputs: surface m², product price/m², waste %. Returns total cost and m² to order. See list_bundles for related 'vie-quotidienne' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
length_mYesLength m
width_mYesWidth m
price_m2NoEUR/m²
waste_pctNoWaste %

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 carries full burden. It discloses the calculation nature (cost including waste), inputs, and outputs. However, it does not mention any side effects, permissions, or limitations, but for a simple calculator this is adequate.

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 three sentences, front-loaded with purpose, and includes usage context and a reference to sibling tools. Every sentence adds value with no wasted words.

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 tool is simple and has a good input schema and output schema (present), the description covers what it does, when to use, inputs, and outputs comprehensively.

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 baseline is 3. The description says inputs are 'surface m², product price/m², waste %', but the schema uses length_m and width_m separately, causing a slight mismatch. Overall, the description adds little beyond the schema.

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?

The description clearly states that the tool computes flooring cost including waste margin for renovation budget. It distinguishes itself from general calculation tools but doesn't explicitly differentiate from similar flooring calculators like tile quantity.

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 says 'Use for renovation budget,' providing clear context. It references list_bundles for related calculators, but does not specify when not to use this tool or mention alternatives such as tile or paint calculators.

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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