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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only states the basic function and mentions Open-Meteo as a source, but does not disclose that only the 'city' parameter is used and others are discarded, nor whether the operation is read-only or has any side effects. This is a significant gap for a tool with many parameters that are effectively ignored.

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, direct sentence with no fluff. It front-loads the core purpose and avoids unnecessary detail, making it easy to parse.

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?

Despite its simplicity, the tool has 9 optional parameters with no required fields, and the description does not explain why unrelated parameters exist or how they interact. There is no output schema, and the description does not mention the return format or any limitations. This is incomplete for an agent to understand the tool's full behavior.

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, including that many are discarded. The description adds no additional meaning beyond mentioning 'city' implicitly. Baseline 3 is appropriate since the schema carries the semantic weight.

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 the tool returns the current temperature for a city via Open-Meteo, which is a specific verb-resource pair. It distinguishes from siblings like geo-hint by focusing on weather rather than location. However, it does not explicitly mention that other input parameters are ignored, leaving some ambiguity about the tool's actual 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, nor any exclusions. The description does not reference sibling tools or conditions that would select weather-hint over others. An agent has no explicit context for choosing it.

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