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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It fails to mention whether the tool performs a network call (Open-Meteo), is read-only, has rate limits, or what side effects occur. It only states the basic function without any behavioral context.

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 sentence, which is concise, but it is under-specified for a tool with 9 optional parameters and no required ones. It does not front-load critical scope information and omits entirely the existence of other parameters, making it more of an under-specification than a concise summary.

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 output schema and no annotations, the description should explain return values, parameter interactions, and typical use cases. It does none of this. The mismatch between the description (weather only) and the schema (many unrelated params) leaves the agent completely unprepared to use the tool correctly.

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 every parameter has a description. The tool description does not add any meaning beyond the schema; it only mentions 'city' which is already described in the schema. Since the schema does the heavy lifting, the baseline of 3 is appropriate, but the description adds no value to parameter understanding.

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 specific verb ('Current temperature') and resource ('city via Open-Meteo'), but it only mentions one of nine parameters. The schema includes many unrelated parameters (ref, url, feed, host, json, path, zone, query) that are not hinted at, making the tool's actual purpose ambiguous and potentially misleading about its 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 its many siblings (e.g., geo-hint, timezone, fetch-status). No mention of prerequisites, conditions, or alternatives. The agent is left to infer usage from the sparse description.

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