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

No annotations are provided, so the description carries the full burden of revealing behavior. It does disclose the external data source and the returned quantity, but omit any side effects, failure modes, rate limits, or the fact the other input properties are discarded.

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?

One concise sentence with no filler. The key outcome is front-loaded, and every word contributes meaning.

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 tool whose schema exposes seven unrelated optional properties, the description does not tell an agent which paramaters actually matter, what the response format will be, or how failures are surfaced. With no output schema and no annotations, this is not enough for confident invocation.

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 input schema's descriptions already cover all seven parameters, so the schema carries the heavy lifting. The description only reinforces that city is the relevant input and adds no detail about formatting, units, or required fields.

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?

States exactly what the tool returns (current temperature), for what resource (a city), and via which provider (Open-Meteo). This clearly differentiates it from sibling tools such as geo-hint or web-fetch even without naming them.

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 gives no guidance about when to use weather-hint instead of a sibling, no prerequisites for the city value, and no exclusions. The only usable context is implied by the phrase 'for a city'.

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