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

With no annotations provided, the description carries the full disclosure burden. It mentions the external provider but does not state output format, error behavior, whether the other eight parameters are ignored, or any other behavioral consequences of the call.

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 extremely short and front-loaded, with no filler or redundancy. It is easy to scan, though its brevity does border on under-specification for such a complex parameter surface.

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 9-parameter tool with no annotations and no output schema, the description is incomplete. It does not say which parameter actually causes the tool to call Open-Meteo, why the parameter fields exist, or what shape the returned temperature takes.

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 describes all 9 parameters at 100% coverage, so the baseline is neutral. The description adds almost nothing beyond tying 'city' to the weather purpose; it does not help an agent understand the role of the many unrelated-looking optional fields.

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 concrete verb and resource ('current temperature for a city') plus the provider ('Open-Meteo'), so the intended purpose is clear. It does not explicitly differentiate it from siblings like geo-hint, and the wide unrelated input schema slightly muddies the clarity.

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 gives no indication of when to prefer this tool over alternatives, nor what context warrants it. It implies a simple weather lookup but provides no exclusions or pointers to sibling tools.

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