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get_vo2max

Retrieve VO2 Max measurements and historical trends from Garmin Connect to analyze cardiovascular fitness and track performance improvements over time.

Instructions

Get current VO2 Max value and historical data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate in YYYY-MM-DD format, defaults to today2026-02-01
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 of behavioral disclosure. It mentions retrieving 'current' and 'historical' data, implying a read operation, but does not specify data freshness, access permissions, rate limits, or error conditions. This leaves significant gaps in understanding the tool's behavior for a mutation-free but data-sensitive context.

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 a single, efficient sentence that front-loads the core purpose without unnecessary details. It uses minimal words to convey the essential action and data scope, making it highly concise and well-structured for quick comprehension.

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

Completeness3/5

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

Given the tool's low complexity (1 optional parameter, no output schema, no annotations), the description is minimally adequate. It states what data is retrieved but lacks details on data format, historical range, or integration with other tools. Without annotations or output schema, more context on behavioral aspects would improve completeness for a fitness data 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?

The input schema has 100% description coverage, with the 'date' parameter fully documented in the schema. The description does not add any meaning beyond the schema, such as explaining how historical data is retrieved or default behavior, so it meets the baseline score of 3 for high schema coverage without extra 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 the verb 'Get' and the resource 'current VO2 Max value and historical data', making the purpose evident. However, it does not explicitly differentiate from sibling tools like 'get_advanced_running_metrics' or 'get_training_status', which might also provide fitness-related data, so it lacks sibling differentiation for a perfect score.

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 guidance on when to use this tool versus alternatives. It does not mention context, prerequisites, or exclusions, such as whether it requires recent activity data or how it differs from other fitness metrics tools in the sibling list, leaving the agent with minimal usage direction.

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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