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

With no annotations, the description carries the full burden of behavioral disclosure, but it only names the result ('current temperature'). It does not explain the external Open-Meteo call, what happens with the many other accepted parameters, or what a caller should expect on failure or with no required parameters.

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 compact, front-loaded with the core purpose, and contains no filler. However, it is arguably too terse for the complexity implied by the nine-parameter schema.

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?

There is no output schema and no annotations, so the description must carry the weight. It does not specify return format, units, error behavior, or how the unrelated parameters should be interpreted. An agent selecting or invoking this tool would have substantial uncertainty beyond the basic city-temperature use case.

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 coverage is 100%, so the input schema already documents all nine parameters. The description adds only a weak link to 'city'; it does not clarify why parameters like 'ref', 'feed', 'json', or 'path' exist on a weather tool. Baseline 3 is appropriate.

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 that the tool returns the current temperature for a city, using Open-Meteo as the data source. This distinguishes it from sibling tools like geo-hint, though it lacks a verb and does not acknowledge the much wider input schema.

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 guidance about when to use weather-hint versus alternatives, nor does it mention which parameters are relevant. An agent is left to infer that 'city' is the operative parameter, but there is no explicit direction or exclusion.

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