enter_weather_forecast_city_israel

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

With no annotations, the description carries the burden, and it does disclose the core UI action (typing into the search bar) and the temporal constraint. It does not mention whether the text is submitted or whether the search bar is cleared first, but the verb 'types' is specific enough to convey the immediate behavior.

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 with no filler; the action is front-loaded and every clause ('requires city,' 'right after opening browser') adds operational value.

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 one-parameter UI input step, the description gives the core action, the required argument, and the timing. It is enough to call correctly, though it could name the natural next step (select_weather_forecast_city_israel) for stronger workflow support.

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 schema has zero description coverage, so the description must compensate. It only repeats the requirement for 'city' and adds the vague qualifier 'specific city name,' without specifying acceptable formats, languages, or whether the value must match a known list.

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 concrete action ('Types the specific city name into the search bar'), names the target resource ('search bar'), and requires a city input. This clearly distinguishes it from sibling tools like open_weather_forecast_israel and get_israel_forecast.

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 provides explicit sequencing ('Must be called right after opening the browser') but does not name alternatives or explain how it differs from select_weather_forecast_city_israel, so it lacks exclusions.

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