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tresor4k

macalc

calculate_electricity_cost

Compute electricity cost for any appliance. Input power in watts, daily usage hours, and price per kWh to obtain daily, monthly, and yearly costs. Use for energy budgeting.

Instructions

Compute electricity cost for an appliance. Use for energy budgeting. Inputs: power W, daily usage hours, kWh price. Returns daily/monthly/yearly cost. See list_bundles for related 'vie-quotidienne' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
power_wYesWatts
hours_dayYesHours/day
daysNoDays
price_kwhNoEUR/kWh

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?

No annotations are provided, so the description carries the full burden. It discloses the output format (daily/monthly/yearly cost) and implies it's a read-only computation. This adds value beyond the schema, though it could explicitly state no side effects.

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 two sentences, front-loaded with the purpose, and contains no filler. Every sentence is necessary.

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?

With an output schema present and low complexity, the description covers the tool's purpose, inputs, and output. It could mention that 'power_w' and 'hours_day' are required, but that is in the schema. Overall, sufficient context.

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%; the description lists three inputs (power W, daily usage hours, kWh price) but doesn't add new meaning beyond the schema. The 'days' parameter is not mentioned, but it has a default. Baseline 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 'Compute' and the resource 'electricity cost for an appliance', and distinguishes it from siblings by specifying it's for appliance energy budgeting. This is specific and unambiguous.

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 energy budgeting' and references list_bundles for related calculators, but lacks explicit when-not-to-use or alternatives. Usage context is present but weak.

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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