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get_aviation_warnings

Retrieve active SIGMETs and aviation weather warnings worldwide for dangerous conditions like thunderstorms, icing, turbulence, volcanic ash, and sandstorms.

Instructions

Aktive SIGMETs und Flugwetter-Warnungen weltweit abrufen.

SIGMETs warnen vor gefährlichem Wetter für den Flugverkehr: Gewitter, Vereisung, Turbulenz, Vulkanasche, Sandstürme.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must bear full responsibility for behavioral disclosure. It only states what the tool does (retrieve warnings) without mentioning any traits such as data freshness, update frequency, output format, or potential rate limits. This leaves agents under-informed about what to expect.

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 concise and front-loaded: the first sentence states the main action, and the second adds explanatory detail about SIGMETs. Every sentence is informative, and there is no redundant information. It is appropriately sized for the tool's simplicity.

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 the tool has no parameters and no output schema, the description should inform the agent about the return value. It does not mention the response structure (e.g., list of warnings, format), which is a gap. However, for a simple retrieval tool with no complexity, the description is minimally adequate but could be improved by specifying output type.

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?

The tool has zero parameters and 100% schema coverage (since the schema is empty). According to guidelines, a baseline of 4 applies when there are no parameters; the description does not need to add parameter-specific details. The description appropriately focuses on the tool's purpose.

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 retrieves active SIGMETs and aviation weather warnings worldwide, and explains what SIGMETs warn about (thunderstorms, icing, turbulence, etc.). It uses a specific verb ('abrufen' meaning 'retrieve') and identifies the resource, distinguishing it from sibling tools like get_airport_weather or get_weather_forecast which focus on general weather or specific locations.

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 provides context on when to use the tool—to access active global aviation warnings—and explains the types of hazards covered. However, it does not explicitly state when not to use it or mention alternative tools for related tasks such as airport-specific weather or flight tracking, though the sibling names imply different scopes.

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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