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set_race_goal

Set a target race distance, time, and date to track training progress and receive personalized workout suggestions based on your Garmin Connect data.

Instructions

Set a target race goal and track progress

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
race_distanceYesTarget race distance (5K, 10K, half_marathon, marathon)
target_timeYesTarget race time in HH:MM:SS format
race_dateYesTarget race date in YYYY-MM-DD format
Behavior2/5

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

No annotations are provided, so the description carries full burden. 'Set' implies a write/mutation operation, but the description doesn't disclose whether this requires authentication, what happens to existing goals, whether changes are reversible, or what the response looks like. It mentions 'track progress' but doesn't explain how this tracking manifests or what side effects occur.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that gets straight to the point. It's appropriately sized for a simple tool with three parameters. There's no wasted language, though it could potentially be more front-loaded with critical information about the tool's behavioral characteristics.

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 a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what happens after setting the goal, how progress tracking works, what the response contains, or any error conditions. The combination of a write operation with minimal behavioral disclosure creates significant gaps for an AI agent.

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 all three parameters with their types, formats, and required status. The description adds no additional parameter information beyond what's in the schema. The baseline score of 3 reflects adequate but minimal value added by the description regarding parameters.

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 with a specific verb ('Set') and resource ('target race goal'), and mentions tracking progress. It distinguishes from most sibling tools which are primarily analytical or retrieval-based, though it doesn't explicitly differentiate from potential goal-setting alternatives.

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, appropriate contexts, or exclusions. With many sibling tools focused on analysis and data retrieval, there's no indication of when goal-setting is appropriate versus when to use 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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