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tresor4k

macalc

calculate_braquet

Compute cycling gear ratio and development per pedal turn for road cycling. Enter chainring and cog teeth to get ratio and meters per revolution.

Instructions

Compute cycling gear ratio (braquet) and development per pedal turn. Use for road cycling gear analysis. Inputs: chainring teeth, sprocket teeth, wheel diameter mm. Returns ratio and meters per pedal turn. See list_bundles for related 'sport' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainring_teethYesNumber of teeth on the front chainring
cog_teethYesNumber of teeth on the rear cog

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 full burden. It explains the calculation and return values (ratio and meters per pedal turn), but does not mention any permissions, side effects, or the fact that one mentioned parameter is not in the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences, each serving a purpose: defining the computation and providing usage context. The mention of a non-existent parameter slightly detracts from efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

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, the description adequately mentions return values. However, the inclusion of a non-existent input parameter makes the description incomplete and potentially misleading.

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

Parameters2/5

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

Schema description coverage is 100% with both parameters having descriptions. However, the description introduces 'wheel diameter mm' as an input that is not in the schema, creating inconsistency and reducing clarity rather than adding value.

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 that the tool computes cycling gear ratio and development, specifying inputs and outputs. However, it mentions 'wheel diameter mm' as an input that is not present in the schema, which could cause confusion.

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 says 'Use for road cycling gear analysis' and suggests related calculators in 'list_bundles', providing some context but no explicit guidance on when not to use or alternatives among siblings.

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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