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SkyBlob12

Strava MCP Server

by SkyBlob12

Calculer VDOT et allures d'entraînement

strava_vdot

Calculate your VDOT score from a recent race or time trial to receive personalized training pace zones and equivalent race times across all standard distances.

Instructions

Calcule ton score VDOT (indice de capacité aérobie de Jack Daniels) depuis une performance récente. Retourne : score VDOT, 5 zones d'allure d'entraînement (Facile, Marathon, Seuil, Intervalle, Répétition), et les équivalents de temps sur toutes les distances standard.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
distance_mYesDistance de la performance en mètres (ex: 10000 pour 10K)
timeYesTemps de la performance au format 'H:MM:SS' ou 'M:SS' (ex: '45:30' pour un 10K en 45min30)
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must bear the burden. It correctly states it calculates and returns values, implying no side effects, but does not explicitly confirm read-only behavior or mention authorization or rate limits.

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 the main action and output, with no wasted words. Efficient and clear.

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 no output schema, the description sufficiently lists return components (score, zones, time equivalents). It is adequate for a calculation tool with two simple parameters, though could detail output format slightly more.

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 has 100% coverage with clear descriptions and examples for both parameters. The description adds context about performance and output but does not significantly enhance parameter meaning 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 it calculates VDOT score and training paces from a recent performance, listing specific outputs (score, 5 zones, time equivalents). This is distinct from sibling tools like strava_pace_zones or strava_predict_race_time.

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 implies use with a recent performance but does not provide explicit guidance on when to use versus alternatives like strava_predict_race_time, nor does it mention when not to use the tool.

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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