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get_gear_insights

Analyze running gear usage to track mileage totals, receive replacement alerts, and monitor recent utilization patterns for informed equipment management.

Instructions

Analyze running gear usage to surface mileage totals, replacement alerts, and recent utilization patterns

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
distance_threshold_kmNoMileage threshold per shoe before alerting (default 800 km)
include_retiredNoInclude retired gear in the analysis
max_itemsNoMaximum number of gear items to summarize (default 5)
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. It mentions analyzing 'mileage totals, replacement alerts, and recent utilization patterns,' which gives some behavioral insight into outputs, but lacks details on permissions, rate limits, data sources, or whether this is a read-only operation. For a tool with no annotations, this is a significant gap.

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 ('Analyze running gear usage') and lists key outputs without redundancy. Every word earns its place, making it appropriately sized and well-structured.

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

Completeness3/5

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

Given no annotations, no output schema, and 3 parameters with full schema coverage, the description is minimally adequate. It covers the purpose and outputs but lacks behavioral details like return format, error handling, or integration context, leaving gaps for an agent to infer 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%, so the schema already documents all three parameters with descriptions and defaults. The description adds no additional parameter semantics beyond implying analysis scope, resulting in a baseline score of 3 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 with specific verbs ('analyze', 'surface') and resources ('running gear usage'), identifying it as an analysis tool for gear metrics. It distinguishes from siblings by focusing on gear rather than physiological metrics, training plans, or activity data, though it doesn't explicitly name 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?

No explicit guidance is provided on when to use this tool versus alternatives. The description implies usage for gear analysis, but there's no mention of prerequisites, context (e.g., after activities), or comparison to sibling tools like 'get_devices' or 'get_advanced_running_metrics' that might overlap.

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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