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tresor4k

macalc

calculate_race_prediction

Predict race time for any target distance using your reference race performance. Enter a known distance and time to calculate your predicted finish time and pace.

Instructions

Predict race time for a target distance using Riegel formula. Returns: {predicted_time_minutes, predicted_formatted, predicted_pace_min_km}. See list_bundles for related 'sport' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reference_distance_kmYesReference race distance in km
reference_time_minutesYesReference race time in minutes
target_distance_kmYesTarget race distance in km

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 are provided, so the description must carry the full burden. It mentions the formula and output structure but does not disclose side effects, authorization needs, rate limits, or constraints. For a calculation tool, this is adequate but not exceptional.

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?

The description consists of two concise sentences. The first states the core purpose and formula, and the second directs to related tools. No redundant or extraneous 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?

Given that an output schema exists and the tool is a straightforward calculation, the description adequately covers the purpose, formula, inputs, and outputs. It could mention constraints or edge cases, but it is largely complete for its complexity.

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?

Input schema coverage is 100%, so the schema already documents all parameters. The description adds context about the Riegel formula but does not explain parameter semantics beyond what the schema provides. Baseline 3 is appropriate.

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 the tool uses the Riegel formula to predict race time for a target distance. It mentions the specific formula and output fields, but does not explicitly distinguish it from similar running calculators like calculate_running_pace or calculate_marathon_splits.

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?

The description provides no explicit guidance on when to use this tool versus alternatives. It only hints at related calculators via 'See list_bundles for related "sport" calculators.' No when-not or exclusion criteria are given.

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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