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st3v

Running Formulas MCP Server

by st3v

daniels_calculate_training_paces

Calculate training paces for running workouts based on VDOT using Jack Daniels' formulas to optimize training intensity.

Instructions

Get recommended training paces for a given VDOT, based on Jack Daniels' formulas.

Args: vdot: VDOT value.

Returns: dict: easy (dict): Recommended easy pace range with lower and upper bounds. marathon (dict): Recommended marathon pace with value and format. threshold (dict): Recommended threshold pace with value and format. interval (dict): Recommended interval pace with value and format. repetition (dict): Recommended repetition pace with value and format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vdotYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool 'Get recommended training paces,' which implies a read-only operation, but doesn't disclose behavioral traits such as error handling for invalid VDOT values, performance characteristics, or any limitations. The description is minimal beyond the basic function.

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 front-loaded with the core purpose, followed by structured sections for Args and Returns. Every sentence earns its place by clearly defining inputs and outputs without unnecessary details, making it efficient and well-organized.

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

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (one parameter) and the presence of an output schema (detailed in the Returns section), the description is complete enough. It explains the purpose, parameter, and return structure, covering all necessary context without redundancy, as the output schema handles return values explicitly.

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?

The input schema has 0% description coverage, but the description compensates by explaining the 'vdot' parameter as 'VDOT value,' adding context about its role in Jack Daniels' formulas. With only one parameter, this provides sufficient meaning beyond the schema's type definition, though it could detail valid ranges or units.

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 specific action ('Get recommended training paces') and resource ('for a given VDOT'), and distinguishes it from siblings by specifying it's based on Jack Daniels' formulas, unlike the McMillan tools. It uses a precise verb and identifies the exact calculation method.

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 implies usage by mentioning 'based on Jack Daniels' formulas,' which suggests it should be used for VDOT-based pace calculations rather than alternatives like McMillan tools. However, it lacks explicit when-not-to-use guidance or direct comparisons to siblings like 'daniels_calculate_vdot' or 'mcmillan_calculate_training_paces,' leaving some ambiguity.

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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