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

No annotations are present, so the description carries the full burden of behavioral disclosure. It reveals an external Open-Meteo dependency but says nothing about return units, failure handling, side effects, or the fact that most schema parameters are discarded. Minimal transparency.

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 single sentence is concise and front-loaded with the core purpose. However, for a tool with seven parameters and no annotations, this brevity leaves important context unexplained; it is short rather than efficiently complete.

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 annotations, no output schema, seven input parameters, and an external API dependency, the one-sentence description is inadequate. It omits required-parameter information, the return shape, and behavioral caveats. The schema descriptions partially compensate, but the tool-level context is too sparse.

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?

The schema already provides descriptions for all seven parameters, so the baseline is 3. The description adds the Open-Meteo association and clarifies the 'city' field's role, but it does not explain why the other fields exist or how they relate to the weather lookup.

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 'Current temperature for a city via Open-Meteo', which clearly identifies the tool's result and data source. It is not worded as a verb phrase and does not explicitly distinguish itself from sibling tools like geo-hint, but the core purpose is unmistakable.

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?

No guidance is given about when to use weather-hint versus alternate tools, nor which of the seven schema fields should be supplied. The description states capability but provides no selection criteria or invocation context.

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