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enter_weather_forecast_city_israel

Type an Israeli city name in Hebrew to fetch its weather forecast. This action populates the search field on the weather page for that city.

Instructions

Type a city name into the search field on the forecast page.

Args: city: City name in Hebrew (e.g. 'תל אביב', 'ירושלים', 'חיפה')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the full burden. It only describes the mechanical act of typing, without disclosing what happens after (e.g., pressing Enter, triggering a search, auto-completion, or whether the field retains previous input). This lack of side-effect disclosure is a notable gap for a UI interaction tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise: one sentence for the action plus a parameter specification. It is front-loaded with the primary action, and every word earns its place without fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is minimal but sufficient for a simple single-parameter action. However, it lacks context about the relationship to sibling tools (e.g., whether this is a prerequisite for get_weather_forecast_content_israel) and does not describe any output or post-condition. Given the output schema exists, return values are covered, but the overall workflow context is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It adds meaning by specifying that the city must be in Hebrew and provides concrete examples ('תל אביב', 'ירושלים', 'חיפה'). This goes beyond the bare schema property name and helps the agent select an appropriate value, though it could be more explicit about accepted variants.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's action: typing a city name into the search field on the forecast page. The verb 'type' and resource 'search field on the forecast page' are specific. It distinguishes from siblings like select_weather_forecast_city_israel and get_weather_forecast_content_israel by focusing on the input action, though it does not explicitly contrast them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool vs alternatives. It does not mention when to use select_weather_forecast_city_israel or open_weather_forecast_israel, nor does it state prerequisites or conditions like needing an already-open forecast page.

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

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