select_weather_forecast_city_israel

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

With no annotations provided, the description must disclose all behavioral traits, but it only states the action and return type. It does not describe whether the selection is a click or keyboard action, any side effects on the UI state, or prerequisites like an existing suggestions list. This minimal disclosure is inadequate for a mutation-like tool.

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 extremely concise, consisting of two sentences that front-load the primary action and follow with the return type. Every word earns its place; there is no redundancy or irrelevant detail. This is a model of concise specification.

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 tool with no parameters and no output schema, the description is still minimal. It fails to explain the prerequisite that a city suggestions list must be visible (likely after calling enter_weather_forecast_city_israel), and it does not describe the exact interaction (e.g., clicking or pressing Enter). An agent would lack sufficient context to call this correctly within the overall flow.

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 zero parameters and the schema is trivially complete. The description adds no parameter-specific information, but there is nothing to add. Per the rubric, a parameterless tool receives a baseline of 4, and the description does not harm that baseline.

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 verb ('Select') and resource ('the first item from the city suggestions list'), which clearly indicates a UI selection action. It distinguishes from sibling tools like enter_weather_forecast_city_israel (which likely inputs text) and open_weather_forecast_israel (which opens a forecast), though it does not explicitly name them. The purpose is clear but could be more explicit about the list context.

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 provides no guidance on when to use this tool versus its siblings. It does not mention that it should be called after entering a city or before opening a forecast, nor does it list any alternatives or exclusions. The usage context is left entirely to inference, which is insufficient for an agent to decide when to invoke it.

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