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meanochi

Weather MCP - Israel Edition

by meanochi

select_weather_forecast_city_israel

Selects the top city suggestion from the autocomplete list after a city name is entered, then waits for that city's weather forecast page to load.

Instructions

בוחרת את הפריט הראשון מתוך רשימת הערים הנפתחת (autocomplete) שמופיעה לאחר הזנת שם עיר, וממתינה לטעינת דף התחזית של אותה עיר.

יש להריץ לאחר enter_weather_forecast_city_israel.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the burden of behavioral disclosure. It discloses the interaction behavior (select first dropdown item) and the waiting behavior (wait for forecast page load), which goes well beyond the tool name. Minor details like timeouts or failure handling are not covered, but they are not essential for this simple step.

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?

Two compact Hebrew sentences, each earning its place: the first defines the action and result, the second states the prerequisite. There is no filler or repetition.

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

Completeness5/5

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

For a zero-parameter UI automation step with an output schema present, the description provides everything needed: what to do, what to wait for, and the required preceding step. Nothing material 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?

The tool has zero parameters and the schema coverage is 100%, so the baseline is 4. The description correctly adds no parameter documentation because there are no parameters to explain.

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

Purpose5/5

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

The description states a specific action—selecting the first item from the autocomplete city list—and an outcome: waiting for the forecast page to load. It names the prerequisite sibling tool, distinguishing it from the surrounding flow despite being brief.

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

Usage Guidelines4/5

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

The description explicitly says it must be run after enter_weather_forecast_city_israel, giving clear sequencing guidance. It does not discuss cases where an alternative should be used, but for this narrow step the context is clear.

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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