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ls3890

Israel Weather MCP Server

by ls3890

enter_weather_forecast_city_israel

Enter an Israeli city name to retrieve its current weather forecast.

Instructions

מזין את שם העיר המבוקשת בשדה החיפוש באתר.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
city_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states that a city name is entered into a search field, but it does not explain whether the field is cleared first, whether typing triggers a dropdown, or whether submission/selection is handled separately. For a UI interaction tool, this is a notable gap.

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

Conciseness4/5

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

The description is one short, direct sentence in Hebrew with no wasted words. It is appropriately sized for a simple action, though it sacrifices potentially useful detail for brevity.

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

Completeness2/5

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

The description omits surrounding workflow context, such as the need to first open the weather page and then select the matching city suggestion after entering text. Although an output schema exists and the action is simple, the lack of step linkage makes it incomplete for an agent navigating a multi-step process.

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

Parameters2/5

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

The schema has zero description coverage for the only parameter, city_name. The tool description restates that the city name is entered but adds no formatting, language, or example constraints. It confirms the parameter's purpose but does little to clarify expected values beyond the schema property name.

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 uses a clear action verb ('מזין' = enters/types) and specifies the target ('the search field on the site'), making the tool's basic purpose understandable. It does not explicitly distinguish itself from the sibling select tool, but the action of entering text is distinct enough from selecting a suggestion.

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?

There is no guidance on when to use this tool versus its siblings (open, select, extract). The reader must infer that it fits between opening the forecast page and selecting a city, but the description does not state this workflow context or mention any alternatives.

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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