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tresor4k

macalc

calculate_lawn_seed

Calculate the amount of grass seed needed in kilograms based on lawn area and seeding rate. Input area in square meters and rate in grams per square meter to get seed quantity.

Instructions

Compute grass seed quantity (kg) for a lawn area at recommended seeding rate. Use for landscaping. Inputs: area m², seed rate g/m². Returns seed kg. See list_bundles for related 'construction' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
area_m2YesLawn area m²
rate_g_m2NoSeeding rate g/m²

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 full burden. It describes the computation and output, indicating a read-only operation. It does not mention any side effects or error conditions, but for a simple calculator this is sufficient.

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, to the point, with no wasted words. It front-loads the main function and includes a reference to a related bundle.

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?

The tool is simple with 2 parameters and an output schema. The description covers the essentials and references a related bundle, making it complete given the tool's complexity.

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%, so baseline is 3. The description mentions inputs (area m², seed rate g/m²) but adds little beyond the existing parameter descriptions. The phrase 'at recommended seeding rate' provides minor context.

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 it computes grass seed quantity in kg for a lawn area at recommended seeding rate, listing inputs and output. It also differentiates from siblings by referencing list_bundles for related 'construction' calculators.

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 says 'Use for landscaping' and directs to list_bundles for related 'construction' calculators, providing a usage context and alternative. However, it does not explicitly state when not to use this 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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