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

With no annotations, the description carries the full disclosure burden. It mentions the external source (Open-Meteo) and the result (temperature), but it does not disclose which of the nine parameters is actually used, what the response shape is, or what happens on failure or when no city is provided.

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 a single tight sentence with no filler. The core function is front-loaded, and the source attribution earns its place by setting expectations about an external API call.

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 no annotations, no output schema, and nine optional parameters, this one-sentence description is incomplete. It does not clarify the expected return format, how the tool behaves when no relevant parameter is supplied, or whether it performs a live network request. The schema helps with individual parameters but not with tool-level context.

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 description coverage is 100%, so the schema already documents all nine parameters and their discard behavior. The description adds only that city is the relevant input; it does not provide additional parameter-level meaning.

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 function: returning the current temperature for a city, and names the upstream source (Open-Meteo). It is not a tautology and gives a clear sense of the tool's purpose, but it does not explicitly contrast it with sibling tools like geo-hint.

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 phrase 'for a city' implies the intended usage, but there is no explicit when-to-use or when-not-to-use guidance, and no alternative tool is named. An agent can infer the use case but gets no direction about choosing this over related hint tools.

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