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

With no annotations, the description must carry behavioral transparency, but it only says 'via Open-Meteo.' It does not disclose that it makes an external network request, that it is read-only, which parameters are actually consumed, or how failures are surfaced.

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 one concise, front-loaded sentence with no wasted words.

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?

Given the nine-parameter schema and absence of output schema/annotations, the description is too thin: it omits units, required parameters, response shape, and error behavior, leaving an agent to guess how to call it.

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?

Although every schema property has a description, most are unrelated to weather (ref, url, feed, host, json, path, zone, query), and the tool description does not clarify that city is the operative parameter. With zero required parameters, invocation is ambiguous and no format/unit constraints are given.

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 states a specific purpose: current temperature for a city via Open-Meteo. It is clear enough to distinguish from sibling tools, but the input schema includes eight unrelated optional parameters, so the actual scope is muddied.

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?

Usage is only implied: use when a current city temperature is needed. There is no explicit when-not-to-use guidance or mention of alternatives, though the simple weather purpose makes the intended case reasonably inferable.

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