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tresor4k

macalc

calculate_gravel_quantity

Compute gravel volume (m³) and weight (tonnes) for a surface by entering length, width, and depth. Use for paths, foundations, drainage.

Instructions

Compute gravel volume (m³) and weight (tonnes) for a surface and depth. Use for paths, foundations, drainage. Inputs: area, depth, gravel density. Returns volume and weight. See list_bundles for related 'construction' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
length_mYesLength m
width_mYesWidth m
depth_cmYesDepth cm

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 must carry the full burden. It describes the computation and returns, but does not disclose any assumptions, limitations, or side effects. Adequate for a simple read-only calculator.

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?

The description is concise with three sentences, front-loading purpose and use cases. The inconsistency in parameter listing is a minor detraction.

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?

For a simple calculator with an output schema, the description covers the main functionality but omits how area is derived (length*width) and the missing density parameter, leaving some ambiguity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage (length_m, width_m, depth_cm), but the description incorrectly lists 'area, depth, gravel density' as inputs, creating confusion and failing to add meaningful detail 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 gravel volume and weight for a surface and depth, with specific use cases. However, it does not differentiate from the numerous sibling tools beyond mentioning a related bundle.

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?

Provides some usage context (paths, foundations, drainage) and a pointer to list_bundles for related calculators, but lacks explicit when-not-to-use or alternative tool 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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