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analyze_workout_quality

Evaluate workout execution by comparing actual performance metrics to planned targets for running activities.

Instructions

Analyze how well a workout was executed compared to plan

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
activity_idYesGarmin activity ID to analyze
planned_workoutNoDetails of what was planned
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool performs analysis but doesn't describe what the analysis entails, what metrics are evaluated, whether it's read-only or has side effects, what permissions are required, or what format the results take. This leaves significant gaps for an analysis tool with no output schema.

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 directly states the tool's purpose without unnecessary words. It's appropriately sized for a tool with two parameters and gets straight to the point with zero wasted content.

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

Completeness2/5

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

For an analysis tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'analyze' means in practice, what metrics are evaluated, what the output format looks like, or how the comparison is performed. The context signals indicate complexity (nested objects) that isn't addressed in the description.

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%, so the schema already documents both parameters thoroughly. The description mentions comparing against 'plan' which aligns with the 'planned_workout' parameter, but adds no additional semantic context beyond what's in the schema descriptions. This meets the baseline for high schema coverage.

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's purpose: analyzing workout execution quality by comparing actual performance against a planned workout. It specifies the verb 'analyze' and the resource 'workout execution', but doesn't explicitly differentiate from siblings like 'analyze_heart_rate_zones' or 'analyze_training_load' which focus on different aspects of workout data.

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 doesn't mention prerequisites (like needing a planned workout), exclusions, or relationships to sibling tools such as 'get_activity_details' or 'analyze_training_load' that might provide overlapping or complementary functionality.

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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