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

With no annotations, the description carries the full disclosure burden, but it only mentions that Open-Meteo is the provider. It does not state that an external API call is made, which parameter identifies the place, whether unrelated parameters are ignored, or what the response and error behavior look like.

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 one tightly scoped sentence with no filler and the core intent is front-loaded. Nothing in it needs trimming.

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 nine optional parameters, no annotations, and no output schema, a single noun-phrase description is insufficient. An agent cannot determine which parameter to populate, what the tool returns, or how failures are reported.

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?

Input schema coverage is 100%, so the schema already documents all nine parameters. The description adds the hint that a 'place' is the target, which loosely maps to the city parameter, but it does not clarify why unrelated fields such as ref, url, json, or path are present or which parameter is authoritative.

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 names the concrete output—latitude and longitude for a place—and the data source, Open-Meteo, making the tool's job clear despite lacking an explicit verb. It also distinguishes geo-hint from weather-related and timezone siblings, though it does not name an alternative directly.

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 provided about when to use this tool or which input to supply. The description only states the result, leaving an agent to infer that a place/city is required and whether geo-hint should be preferred over other lookup tools.

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