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tresor4k

macalc

calculate_buoyancy

Compute buoyancy force and determine if an object floats or sinks using Archimedes' principle. Input object mass, volume, and fluid density to get displaced volume and float/sink verdict.

Instructions

Compute buoyancy force, displaced volume, or floating analysis (Archimedes). Use for physics or shipping. Inputs: object mass/volume, fluid density. Returns buoyant force and float/sink verdict. See list_bundles for related 'science' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
volume_m3YesObject volume m³
fluid_densityNoFluid density kg/m³
object_massYesObject mass kg

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 the burden. It mentions inputs and outputs (buoyant force, float/sink verdict) but does not disclose behavioral traits like idempotency or side effects. For a compute tool, this is adequate but could be more explicit.

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?

Extremely concise: three sentences with no redundancy. Key information is front-loaded. Every sentence adds value.

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's simplicity and the presence of an output schema, the description fully covers inputs and outputs. No missing context for correct invocation.

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%, so the baseline is 3. The description loosely groups parameters ('object mass/volume, fluid density') but adds little beyond the schema's existing descriptions.

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 computes buoyancy force, displaced volume, and floating analysis using Archimedes' principle. It distinguishes itself from sibling calculators by referencing 'list_bundles' for related science tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description advises using this tool 'for physics or shipping' and directs users to list_bundles for related calculators, providing clear usage context and alternatives. However, it does not explicitly state when not to use the tool.

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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