select_weather_forecast_city_israel

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It only states that the tool selects the first item, but does not disclose what happens after selection (e.g., navigation, field population), error handling, or what to do if the list is empty.

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 with two short sentences. The first sentence states the action, and the second provides a prerequisite. No unnecessary words, and the key information is front-loaded.

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?

Given the tool's simplicity with no parameters and the existence of an output schema, the description covers the basic purpose and prerequisite. However, it lacks details about what the tool returns or what state changes occur after selection, which could leave the agent underinformed.

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 no parameters, and schema description coverage is trivially 100%. Per guidelines, 0 parameters yields a baseline of 4. The description adds no parameter information, which is appropriate since there are none.

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 clearly states the tool selects the first item from a city list after typing, and it distinguishes itself by mentioning the prerequisite sibling tool. The verb 'select' and the specific context 'first item from list of cities' make the purpose unambiguous.

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 explicitly states that enter_weather_forecast_city_israel must be called first, providing clear usage context and a prerequisite. It does not mention when not to use, but for a simple selection tool, this is sufficient guidance.

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