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tresor4k

macalc

calculate_vo2max

Estimate VO2max from maximal aerobic speed to assess cardio fitness for runners. Input VMA in km/h and get VO2max and fitness category.

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. It mentions formula and returns VO2max in mL/kg/min and fitness category. However, it does not disclose potential limitations or assumptions (e.g., accuracy depends on VMA measurement method).

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?

Three sentences, each essential. Purpose stated first, usage context, formula, output, and a pointer to related tools. No wasted words.

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 tool has an output schema (as per context signals), the description adequately covers input, formula, and output details (VO2max value and fitness category). No gaps for a straightforward 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 one parameter already described as 'VMA in km/h'. Description repeats this context without adding new meaning beyond the schema, so baseline score of 3 is appropriate.

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?

Description starts with 'Estimate VO2max from VMA' using specific verb and resource. It clearly distinguishes itself among numerous sibling calculator tools by focusing on VO2max estimation for runners.

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?

States 'Use for runners assessing cardio fitness' which provides clear context. Lacks explicit when-not-to-use or alternatives, but references 'list_bundles' for related calculators, giving some 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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