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analyze_training_load

Analyze training load and recovery status to prevent injury by examining Garmin Connect data over specified weeks.

Instructions

Analyze training load and recovery status to prevent injury

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. It mentions analyzing to prevent injury, which implies a read-only, advisory function, but doesn't disclose behavioral traits like whether it requires specific permissions, how it processes data, rate limits, or what the output looks like. This is a significant gap for a tool with no annotation coverage.

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 any wasted words. It's appropriately sized for a simple tool, making it easy for an agent to parse quickly.

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. It states the goal but lacks details on behavior, output format, or how it integrates with sibling tools. For a tool in a complex domain with many alternatives, this leaves the agent under-informed about its full context and usage.

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% for the single parameter 'weeks_back', so the schema already documents it well. The description adds no additional meaning about parameters beyond implying analysis over time, which is covered by the schema. Baseline 3 is appropriate as the schema does the heavy lifting.

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 as analyzing training load and recovery status to prevent injury, which is specific (verb+resource+goal). However, it doesn't explicitly differentiate from siblings like 'get_training_load_balance' or 'get_training_readiness', which might cover similar concepts, so it misses full sibling distinction.

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 many sibling tools related to training analysis (e.g., 'get_training_load_balance', 'get_training_readiness'), there's no indication of context, prerequisites, or exclusions, leaving the agent to guess based on tool names 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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