uae_weather

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

With no annotations provided, the description carries the full burden. It transparently states no API key is needed and lists the returned data (temperature, feels-like, etc.). It does not mention any destructive behavior, rate limits, or update frequency, but for a read-only weather tool this is adequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences front-load the core purpose and include a differentiator with sibling tools. No redundant words; every part adds value.

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

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

For a simple tool with one optional parameter and an output schema, the description is complete. It explains what the tool returns and how it differs from related tools, covering all essential aspects given the complexity.

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

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

Schema coverage is 100% with a detailed description of the 'city' parameter. The description adds no additional information beyond the schema's listing of supported cities and defaults, so it meets the baseline but does not enhance parameter understanding.

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

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

The description clearly specifies the tool provides current weather and today's high/low for a UAE city, listing specific data points like temperature, feels-like, humidity, wind, and conditions. It explicitly distinguishes itself from METAR/TAF aviation_weather tools, helping an agent differentiate among siblings.

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

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

The description implies usage for everyday human-friendly weather versus aviation weather tools, but does not explicitly state when to use or avoid this tool. The mention of 'human-friendly way' provides context for choosing between this and aviation_weather tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.