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tresor4k

macalc

calculate_cycling_power

Calculate cycling power output in watts and watts per kilogram based on rider and bike weight, road gradient, and speed. Input rider weight, gradient, and speed for accurate power estimates.

Instructions

Estimate cycling power output considering gradient, speed and total mass. Returns: {power_watts, watts_per_kg}. See list_bundles for related 'sport' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
weight_kgYesRider weight in kilograms
bike_weight_kgNoBike weight in kilograms
gradient_pctYesRoad gradient in percent (positive = uphill)
speed_kmhYesSpeed 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?

With no annotations, the description must disclose behavioral traits. It explains the calculation parameters but does not mention model assumptions, limitations, or that it is a simplified estimate.

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 sentences: first defines purpose and inputs, second adds return and related tools. No wasted words, front-loaded with key 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 straightforward calculator with full schema coverage and output schema implied, the description is largely complete. It could mention the physics model or edge cases, but the schema already handles gradient limits.

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?

Schema coverage is 100%, so baseline is 3. The description adds value by grouping weight parameters into 'total mass' and specifying the return structure, going beyond the schema.

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 estimates cycling power using gradient, speed, and total mass, and specifies the return format. It also points to related calculators, differentiating it from the many sibling tools.

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?

The description mentions related calculators via 'list_bundles', providing context for alternatives. However, it does not explicitly state when to use this tool versus others or provide exclusions.

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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