open_weather_forecast_israel

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

No annotations are provided, so the description carries the burden. It discloses the primary side effect (opens a browser to a specific URL) and the ordering requirement, but does not explain return behavior or what happens after opening. For a 0-param tool this is acceptable but not rich.

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?

Two short sentences, each earning its place. The first states the action, the second gives a clear sequencing instruction. No wasted words.

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 0-parameter tool with an output schema, the description covers the main purpose and the critical workflow step ('call first'). It could be more explicit about next steps, but sibling names and context signals mitigate the gap.

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 tool has 0 parameters, and the schema is empty. Per the rubric, 0 params gets a baseline of 4. The description adds no parameter info, but there are none to describe.

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 uses a specific verb-resource pair: 'Open the Israeli weather forecast site in a browser' with an explicit URL. It also distinguishes itself from siblings (enter/select city, get content) by indicating it is the initial navigation step.

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 states 'Call this first before typing a city name', which is a clear when-to-use instruction. However, it does not name alternatives or state when not to use, though the sibling tool names make the workflow implicit.

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