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

No annotations are provided, so the description carries the full burden. It discloses the use of the external Open-Meteo service but omits important behavioral details: what happens if the city is not found, rate limits, response format, or that all parameters except city are effectively ignored. The schema descriptions mention 'discarded', but the tool description does not, leaving behavior opaque.

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, which is concise and front-loaded with the primary action. However, it under-specifies the tool's behavior given the broad schema, so the brevity works against completeness. It is not verbose, but it lacks essential context, making it less useful than a slightly longer, more informative description.

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 with 9 parameters, no output schema, and no annotations, the description is severely incomplete. It fails to explain the purpose of the additional parameters, the return value, error behavior, or any limitations. An agent would be unable to correctly call this tool for any scenario beyond the simplest city lookup without referring to the schema, which still leaves behavioral gaps.

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 all parameters are individually documented in the schema. The description adds only minimal value by explicitly linking the city parameter to temperature lookup, but it does not clarify why the other 8 parameters exist or how they interact with the described function. Baseline 3 is appropriate since the schema carries the parameter 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 clear verb (get), resource (current temperature), and scope (for a city), and it names the data source (Open-Meteo). It distinguishes itself from siblings like geo-hint and lib-docs-hint by its specific function. However, the input schema contains 8 other parameters unrelated to weather, which the description does not acknowledge, potentially confusing an agent about the tool's full scope.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention any conditions, exclusions, or prerequisites. The description simply states what it does without explaining context or why an agent might choose it over other hint tools.

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