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tresor4k

macalc

calculate_race_prediction

Predict race time for a target distance using the Riegel formula. Input a reference race distance and time, then specify the target distance to get predicted time, formatted output, 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?

With no annotations, the description carries the full burden. It reveals the use of the Riegel formula and the return object, but does not discuss assumptions, validity ranges, or potential edge cases. It is adequate but lacks depth.

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 is two sentences, front-loaded with purpose and return structure. Every sentence adds value, with no redundant or verbose phrasing.

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 the existence of an output schema (not shown), the description need not detail return values. It provides formula and bundle reference, but lacks usage context like 'for running races' or limitations. Still fairly complete for a simple 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 description coverage is 100% as all three parameters have descriptions. The tool description adds no extra parameter information, so baseline 3 is appropriate per the scoring criteria.

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 predicts race time using the Riegel formula, specifying the verb 'predict' and the resource 'race time'. It distinguishes from sibling tools like 'calculate_running_pace' by mentioning the specific formula and providing the return object structure.

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?

No explicit guidance on when to use this tool vs alternatives like 'calculate_marathon_splits' or 'calculate_running_pace'. The only hint is 'See list_bundles for related sport calculators', which is vague and doesn't directly compare or exclude other tools.

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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