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tool_generate_packing_list

Generate a packing list tailored to your destination, weather, and planned activities. Get weather-adapted clothing and gear suggestions for your trip.

Instructions

Generate a smart packing list tailored to destination, weather, and activities.

Fetches live weather to adapt clothing and gear suggestions.

Args: destination: City or country name start_date: YYYY-MM-DD end_date: YYYY-MM-DD activities: Comma-separated (e.g., "beach,hiking,business,nightlife") budget_level: budget, moderate, luxury travelers: Number of travelers latitude: Optional — auto-fetched if omitted longitude: Optional — auto-fetched if omitted

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
destinationYes
start_dateYes
end_dateYes
activitiesNo
budget_levelNomoderate
travelersNo
latitudeNo
longitudeNo
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that live weather is fetched, and coordinates are auto-fetched if omitted. This adds behavioral context beyond the name, though it does not mention if the tool is read-only or has side effects. Overall, good transparency.

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 concise with a front-loaded purpose and a structured Args list. Every sentence adds value, but the Args list could be more compact. Still, it is well-organized and easy to scan.

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?

The tool has 8 parameters and no output schema. The description explains inputs well but does not describe the output format or structure of the packing list. It also lacks information on error handling or limitations, making it somewhat incomplete for an agent to fully anticipate results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description includes an Args section explaining each parameter, such as activities format (comma-separated) and budget_level options (budget/moderate/luxury). This compensates for the schema gap, though it could be more precise for destination and dates.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool 'generates a smart packing list' tailored to destination, weather, and activities. This distinguishes it from siblings like tool_get_weather or tool_search_activities, making the purpose specific and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for planning trips by providing a packing list based on trip details. It mentions fetching live weather, which hints at when it's useful, but does not explicitly state when not to use it or list alternatives. Still, the context is clear enough for an agent.

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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