get_weather

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

No annotations are provided, so the description carries the full behavioral burden. It attempts to describe return behavior by saying it opens a structured-data file, but the sentence is garbled and does not clarify auth, rate limits, or actual output format beyond the existing output schema.

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 first sentence is clear and front-loaded, but the remaining sentences are repetitive, ungrammatical, and include typos such as 'strucherd' and 'cointain.' They reduce clarity rather than adding useful structure.

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 tool is simple and has an output schema, so return-value detail is less necessary. However, the description fails to specify the required location format and gives only garbled behavioral context, leaving important invocation details unclear for an agent.

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?

The description mentions 'a given location' but adds no format, examples, or constraints for the single required parameter. Schema description coverage is 0%, so the description should compensate, but it does not explain whether location means city name, coordinates, postal code, or something else.

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 first sentence states a specific verb and resource: 'Get the current weather' for 'a given location,' and names the provider Open-Meteo. This is clear enough for an agent to understand the core operation, though the later garbled sentences weaken confidence.

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?

It explicitly says whenever an AI agent needs a weather update for any location, it should call this tool. No exclusions or alternatives are given, but no sibling tools exist, so the context is clear.

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