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tresor4k

macalc

calculate_rainwater_collection

Calculate annual rainwater collection volume based on roof area, local rainfall, and collection efficiency. Plan water harvesting with this estimator.

Instructions

Estimate annual rainwater collection volume from a roof. See list_bundles for related 'astronomie-nature' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roof_area_m2YesRoof catchment area in square metres
annual_rainfall_mmYesAverage annual rainfall in millimetres
efficiency_pctNoCollection efficiency percentage (default 80%)

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 bears full transparency burden. It only states the core purpose without disclosing behavioral traits like read-only nature, permission requirements, or error handling, leaving significant gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences: the first conveys the main action, the second provides a useful pointer to related tools. Efficient and front-loaded, though could be slightly more descriptive without adding length.

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?

Tool has a simple purpose with 3 parameters and an output schema. Description mentions the estimate but omits the output unit (e.g., liters), which would be helpful. The output schema partially compensates, yet the description could be more complete.

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?

All parameters are documented in the input schema with descriptions (100% coverage), so the description adds no extra semantic value. Baseline 3 applies as per rule.

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 the tool estimates annual rainwater collection volume from a roof, using a specific verb and resource. It also references a related bundle, helping differentiate from many sibling calculation 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 mentions 'See list_bundles for related calculators,' providing a hint to find alternatives, but does not explicitly specify when to use this tool versus others or state conditions for usage.

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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