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tresor4k

macalc

calculate_bmr

Determine Basal Metabolic Rate with the Mifflin-St Jeor equation. Input weight, height, age, and sex to compute BMR in kcal for daily energy expenditure at rest.

Instructions

Calculate Basal Metabolic Rate using Mifflin-St Jeor equation. Returns: {bmr_kcal}. See list_bundles for related 'sante' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
weight_kgYesWeight in kilograms
height_cmYesHeight in centimeters
ageYesAge in years
sexYesBiological sex

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. The description does not disclose behavioral traits beyond the calculation itself. For a simple read-only computation, the lack of side effects is assumed, but no additional context (e.g., precision, error handling) is provided.

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?

Two concise sentences: one captures the core action and return, the other directs to related tools. No redundancy or unnecessary information.

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?

For a simple calculator with clear schema and output schema, the description covers purpose, method, return format, and related tools. Could mention precision or assumptions but is mostly complete.

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 descriptions for each parameter. The description adds no extra parameter semantics beyond what the schema already provides, 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?

Clearly states it calculates BMR using the Mifflin-St Jeor equation and specifies the return format. Distinguishes from siblings by naming the specific equation and directing to 'list_bundles' for related calculators.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Only hints at related calculators via 'See list_bundles' but provides no explicit guidance on when to use this tool versus alternatives like calculate_tdee or calculate_bmi. No exclusions or when-not scenarios.

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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