Get Weather Station

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

With no annotations, the description carries the full behavioral burden. It discloses the returned fields (temperature, humidity, wind, precipitation, road conditions), which is useful, but says nothing about station-name matching semantics, failure behavior for unknown stations, or freshness of the data.

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?

Three compact sentences, front-loaded with the core action and followed by return values and the use case. Slight redundancy between 'current weather data' and 'current road weather conditions', but nothing wasted.

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 one-parameter read tool with no output schema, listing the returned fields and the geographic scope covers most of what an agent needs. Only the absence of a pointer to list_weather_stations for name resolution leaves a minor gap.

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% for the single stationName parameter, so the schema already documents it. The description adds only that the name must be a Swedish station, which is mild added meaning; baseline 3 applies.

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 gives a specific verb and resource ('Get current weather data for a specific Swedish weather station by name') and the 'by name' qualifier implicitly separates it from get_weather_stations_near_location. It stops short of explicitly naming a sibling, but the scope is unambiguous.

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?

'Use this to check current road weather conditions in Sweden' gives an implied use case and geographic scope, but there is no when-not guidance and no pointer to list_weather_stations for name discovery or to the near-location variant. Usage is inferable rather than stated.

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