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

There are no annotations, so the description must carry the full behavioral burden. It says the data comes from Open-Meteo and implies a read-only lookup, but it does not disclose the return format, units, failure behavior, or the fact that many schema fields appear to be unrelated/discarded. This is a significant transparency gap.

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 short sentence that front-loads the core operation and data source. There is no redundant wording or filler.

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 lack of an output schema and annotations, plus a nine-parameter input schema containing many seemingly unrelated optional fields, the description is not complete enough. An agent can guess that city is relevant, but it cannot reliably determine the expected output shape or whether other schema properties are truly ignored.

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%, so the baseline is 3. The schema descriptions themselves hint that city is the weather-related input and that other fields are discarded, but the description adds no parameter-level guidance and all parameters are optional, leaving doubt about which field is actually needed.

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, concrete operation: returning current temperature for a city via Open-Meteo. It is not a tautology and is clear enough for an agent to understand the tool's basic purpose, though it does not explicitly differentiate from 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 description makes the intended scenario clear: use this tool when current temperature for a city is needed. It provides no exclusions or named alternatives, but the use case is directly stated rather than merely implied.

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