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

With no annotations available, the description carries full behavioral disclosure burden. It reveals the data source (Open-Meteo), no API key requirement, default cities, and returns a dict containing status, cities_checked, alerts, and errors. This is transparent for a simple read-only weather-checking operation, though it does not dive into failure modes beyond an errors field.

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 compact, front-loaded, and uses a clear heading plus bullets. Every sentence adds useful information: what it does, default cities, authentication-free source, and return shape. There is no filler or redundant restating of the tool name.

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?

The description covers the tool's core behavior, defaults, source, and return format, which is enough for a simple alert-checking tool. However, because there are no annotations and no schema descriptions, the description leaves some gaps: no explicit mapping of thresholds to parameters, no definition of temp change interval, and no handling explanation for invalid cities. It is adequate but not fully complete.

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 0%, so the description must compensate, but it only generically mentions 'thresholds' and 'default cities'. It does not explain the specific parameters (cities, rain_threshold_mmh, wind_threshold_kmh, temp_change_threshold) beyond what the schema's names already convey. The return dict gives some indirect context, but substantial parameter guidance is missing.

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 action ('Check weather for cities; return alerts when thresholds exceeded') and a clear resource. It also provides concrete details like default cities and the return structure, making the tool's purpose unmistakable even before opening the 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 clearly implies when to use this tool: to check weather and receive threshold-based alerts. It doesn't explicitly discuss alternatives, but none of the sibling tools serve the same purpose, so explicit exclusions are not necessary. The note about Open-Meteo and no API key gives helpful context for when this tool fits.

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