Weather & fine dust at a hotspot

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

No annotations are provided, so the description carries the full burden. It clearly states that the tool returns current conditions and lists all included data types. It also specifies the geographic scope (Seoul hotspot). This is adequate for a simple, read-only weather tool, though it doesn't mention units or handling of unknown places, which are minor gaps.

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?

The description is concise and front-loaded with the core purpose. It includes both English and Korean versions, which is slightly redundant but the Korean portion adds the example use case. Overall, every sentence contributes value without excessive length.

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 parameter and no output schema, the description is sufficiently complete. It enumerates all returned data fields, specifies the geographic context, and gives an example query. It doesn't describe the return format in detail, but the list of attributes compensates for the absence of an output schema.

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?

The schema describes the only parameter 'place' as '핫스팟 장소명' (hotspot place name), and the description adds 'Seoul hotspot' and an example ('여의도'). This gives the agent a clear understanding of what values to provide, going beyond the schema's minimal description.

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 uses a clear verb 'Get' and specifies the resource: current weather data including temperature, precipitation, fine dust, UV, sunrise/sunset, and weather warnings for a Seoul hotspot. This detailed list makes the tool's purpose unambiguous and distinguishes it from sibling tools like get_air_quality, which focuses only on air quality.

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 provides clear context for when to use the tool: 'for a Seoul hotspot' and includes a concrete example question, '지금 여의도 날씨 어때?' (What's the weather in Yeouido now?). While it doesn't explicitly exclude alternatives like get_air_quality, the example and wording strongly imply use for general weather inquiries, giving reasonable guidance.

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