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

No annotations are provided, so the description must carry the behavioral transparency burden. It mentions the Open-Meteo source but does not disclose whether the tool makes a network call, what happens with unrelated parameters, whether the result is cached, or what error behavior occurs for an unknown city.

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, front-loaded sentence with no filler. It is appropriately concise, though it sacrifices useful operational detail.

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?

With no output schema and no annotations, the description is incomplete for safe invocation. It does not specify temperature units, return format, error handling, or which parameters are actually required or relevant, especially given the nine-parameter 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?

Schema description coverage is 100%, so the schema already documents all parameters. The description adds that 'city' is the relevant input and that Open-Meteo is the provider, but it does not clarify that the other eight parameters are ignored, which is a meaningful ambiguity given the broad optional schema.

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 clearly states that the tool returns the current temperature for a city and identifies the data source as Open-Meteo. It is distinct enough from sibling tools like geo-hint, though it lacks an explicit action verb such as 'get' or 'fetch'.

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 usage context is implied: an agent should use this when it needs a city's current temperature. However, there is no explicit guidance on when not to use it, and the description does not address the fact that the schema contains many unrelated optional parameters.

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