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get_weekly_running_summary

Analyze weekly running performance trends from Garmin Connect data to monitor metrics, track progress, and identify training patterns for improvement.

Instructions

Get comprehensive weekly running summary with trends and analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
weeks_backNoNumber of weeks to analyze
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 'comprehensive weekly running summary with trends and analysis', which hints at a read-only, analytical operation, but fails to specify critical details like data sources, permissions required, rate limits, or whether it aggregates historical data. This leaves significant gaps in understanding the tool's behavior.

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 front-loads the core purpose without unnecessary words. It could be slightly improved by adding brief context, but it earns its place by being direct and to the point, with no wasted verbiage.

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 the complexity of a summary tool with trends and analysis, no annotations, and no output schema, the description is incomplete. It lacks details on return format, data scope, error handling, or how it differs from similar tools, making it inadequate for an agent to fully understand and invoke the tool correctly without additional context.

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 'weeks_back' clearly documented as 'Number of weeks to analyze' and a default of 1. The description adds no additional parameter semantics beyond what the schema provides, such as format constraints or usage examples, so it meets the baseline for high schema coverage without compensating 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 'comprehensive weekly running summary with trends and analysis', making the purpose specific and understandable. However, it does not explicitly distinguish this tool from sibling tools like 'get_running_trends' or 'get_weekly_activity_summary' (implied), which could cause ambiguity in selection.

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, such as 'get_running_trends' or 'get_weekly_activity_summary'. It lacks context on prerequisites, frequency, or specific scenarios, leaving the agent to infer usage from the tool name alone.

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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