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tresor4k

macalc

calculate_vo2max

Estimate your VO2max from your VMA (maximal aerobic speed). Input your VMA in km/h to receive VO2max in mL/kg/min and fitness category. For runners assessing cardio fitness.

Instructions

Estimate VO2max from VMA (maximal aerobic speed). Use for runners assessing cardio fitness. Formula: VO2max ≈ VMA × 3.5. Inputs: VMA in km/h. Returns VO2max in mL/kg/min and fitness category. See list_bundles for related 'sport' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vmaYesVMA in km/h

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 provided, so description carries burden. Discloses formula and return values (VO2max, fitness category), but omits assumptions (e.g., age, gender) and limitations.

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?

Four sentences, front-loaded with purpose and usage. Every sentence adds value; no redundancy.

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?

Single simple parameter, output schema exists (implied by context), description covers inputs and outputs. Complete for a calculation tool.

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% with clear param description. Description adds formula context (VMA×3.5), but doesn't substantially exceed schema info. Baseline 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?

Clearly states it estimates VO2max from VMA, specifies target users (runners), and mentions 'sport' calculators, differentiating it from the many sibling 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?

Explicitly says 'Use for runners assessing cardio fitness' and provides formula. References list_bundles for related calculators, but doesn't specify when not to use.

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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