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weather_uae_all

Retrieve METAR weather observations for all six UAE airports in one API call, with optional TAF forecasts.

Instructions

Get METAR observations for all 6 UAE airports in a single call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
include_tafNoIf True, also fetch TAF forecasts (slower).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses that including TAF forecasts makes the call slower, which is useful. However, it does not mention data freshness, rate limits, authentication, or other behavioral traits beyond the optional parameter effect.

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, well-structured sentence with no unnecessary words. It conveys the core functionality efficiently.

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

Completeness5/5

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

Given the tool has only one optional parameter and an output schema exists (implied by context signals), the description sufficiently covers what the tool does. It explains the main output and the optional behavior, making it complete for an AI agent.

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 schema already provides a clear description for the single parameter (include_taf). The tool description adds no additional semantic meaning beyond what is in the schema, so baseline of 3 is appropriate.

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 METAR observations for all 6 UAE airports in a single call. The verb 'Get' and specific resource are unambiguous, and it distinguishes from sibling tools like 'weather_uae_icao' or 'uae_weather' by highlighting batch retrieval.

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

Usage Guidelines3/5

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

The description implies usage for bulk airport data via 'in a single call', but does not explicitly state when to use this over alternatives like 'weather_uae_icao' or 'uae_weather'. There is no guidance on exclusions or prerequisites.

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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