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get_golf_data

Retrieve golf performance metrics and scorecards from Garmin Connect for analysis and tracking.

Instructions

Get golf performance data and scorecards

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scorecardIdNoSpecific scorecard ID to retrieve (optional)
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 states the tool retrieves data, implying a read-only operation, but lacks details on permissions, rate limits, data format, or error handling, which are critical for a data-fetching tool.

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 extremely concise with a single, clear sentence that front-loads the core purpose. There is no wasted language, making it efficient and easy to parse for an AI agent.

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?

Given no annotations and no output schema, the description is incomplete for a data retrieval tool. It doesn't specify what 'golf performance data' entails, the format of returned data, or any behavioral constraints, leaving significant gaps in understanding how to use the tool effectively.

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, documenting the optional 'scorecardId' parameter. The description adds no additional parameter semantics beyond what the schema provides, such as explaining what 'golf performance data' includes or how to interpret results, so it 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 with a specific verb ('Get') and resource ('golf performance data and scorecards'), making it immediately understandable. However, it doesn't distinguish this tool from sibling tools like 'get_activities' or 'get_workout_detail' that also retrieve data, missing full differentiation.

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. With siblings like 'get_activities' and 'get_workouts' that might overlap, there's no indication of context, prerequisites, or exclusions, leaving usage ambiguous.

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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