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tresor4k

macalc

calculate_lawn_mowing_frequency

Calculate recommended lawn mowing interval using grass type, season, and weekly rainfall to maintain proper grass health.

Instructions

Calculate recommended lawn mowing interval based on grass type, season and rainfall. See list_bundles for related 'jardinage' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
grass_typeYesType of grass: cool_season (fescue/rye), warm_season (bermuda/zoysia), or mixed
seasonYesCurrent season
weekly_rainfall_mmNoAverage weekly rainfall in mm (default 25mm)

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?

With no annotations provided, the description carries the full burden for behavioral transparency. It only states it 'calculates' but does not disclose any side effects, safety constraints, or what happens with invalid inputs, though the tool is likely read-only.

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: the first clearly states the tool's function, and the second provides a related reference. It is front-loaded and contains no unnecessary information.

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 low complexity, full schema coverage, and presence of an output schema, the description adequately covers the necessary context. It does not need to explain return values as the output schema handles that.

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?

The input schema has 100% description coverage, so the schema already details each parameter including enums and defaults. The description only names the parameters without adding new information, earning a baseline score of 3.

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 the tool calculates a recommended lawn mowing interval based on grass type, season, and rainfall. It uses specific verbs and resources, and the purpose is distinct among many sibling calculator 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 'jardinage' calculators', which provides a hint for discovering related tools but does not explicitly state when to use this tool versus alternatives or when not to use it.

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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