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tresor4k

macalc

calculate_pool_volume

Compute swimming pool water volume in cubic meters and liters. Input shape (rectangular, round, oval) and dimensions to determine exact volume for chemical dosing.

Instructions

Compute swimming pool water volume in m³ and liters. Use for pool maintenance dosing. Inputs: shape, dimensions. Returns volume m³ and L. See list_bundles for related 'vie-quotidienne' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
shapeYesShape
length_mNoLength m
width_mNoWidth m
depth_mYesAvg depth m
diameter_mNoDiameter (round)

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, but the description clearly indicates a computation-only tool with no side effects. It states what it returns (volume in m³ and L), which aligns with a read-only operation.

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?

Two concise sentences that front-load the purpose and function. Every sentence adds value without redundancy.

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?

For a simple calculator with a full schema and output schema, the description adequately covers what, when, inputs, and outputs. No additional information is required.

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% with full parameter descriptions. The description only mentions 'shape, dimensions' generically, adding no new semantics beyond what the schema already provides.

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?

Clearly states the tool computes swimming pool water volume in m³ and liters. It specifies the purpose (pool maintenance dosing) and mentions inputs (shape, dimensions), distinguishing it from other volume 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 gives a use case ('Use for pool maintenance dosing') but does not provide explicit when-not-to-use or alternatives to similar tools like aquarium volume calculators. Reference to list_bundles is weak guidance.

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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