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tresor4k

macalc

calculate_hat_size

Convert your head circumference in cm to hat sizes in FR/EU, US/UK, and standard S/M/L/XL. Determine your hat size accurately across multiple systems.

Instructions

Calculate hat size in FR/EU, US/UK systems and standard S/M/L/XL from head circumference (cm). Returns: {head_circumference_cm, FR_EU, US_UK, standard_size}. See list_bundles for related 'textile-mode' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
head_circumference_cmYes

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?

With no annotations, the description carries the burden. It describes the calculation and output structure. It does not disclose any side effects, but as a simple calculator, no destructive actions are expected. The output format is clearly stated.

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 very concise with two sentences. The first covers purpose and input, the second covers output and related tools. Every sentence adds value without redundancy.

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?

Given the tool's simplicity (one parameter, output schema), the description covers input, output, and pointers to related calculators. It is adequate, though it could mention valid ranges or assumptions.

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

Parameters4/5

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

The schema has 0% description coverage. The description compensates by explicitly mentioning the input is head circumference in cm and listing the output fields. This adds meaningful context beyond the bare 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 the tool calculates hat size from head circumference in multiple systems. It does not explicitly differentiate from sibling size calculators but points to list_bundles for related tools, making the purpose specific and understandable.

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 implies usage for converting head circumference to hat sizes but lacks explicit guidance on when not to use this tool. The mention of list_bundles provides some context for related calculators, but no exclusions or alternatives are provided.

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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