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

With no annotations, the description must carry behavioral disclosure. It conveys an external Open-Meteo lookup and a read-only data retrieval, but it does not clarify that parameters other than city are ignored, nor does it mention API constraints or the exact return format. It is adequate but thin.

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 front-loaded sentence that names the action, resource, and provider with no filler. It is easy to parse and every word contributes to understanding.

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 simple read-only weather lookup, the description plus fully covered schema is mostly workable. However, the absence of annotations, output schema, and usage guidance leaves gaps around return format, parameter roles, and when to prefer this over neighboring tools. It is minimally complete but not robust.

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 each parameter and which ones are discarded. The tool description adds no parameter-level meaning beyond identifying 'city' as the relevant input, which meets the baseline for high schema coverage.

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 a specific function: retrieving the current temperature for a city via Open-Meteo. It names both the resource (city) and the provider, which distinguishes it from sibling tools such as geo-hint or lib-docs-hint.

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 phrasing 'Current temperature for a city' implies that this tool should be used when an agent needs current weather for a city. However, it gives no explicit when-to-use or when-not-to-use guidance and does not mention alternative tools, so the usage context is only implicit.

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