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shoshi-raz

mcp-playwright-weather-israel

by shoshi-raz

select_weather_forecast_city_israel

Select the first city from the dropdown to load its Israeli weather forecast page. Returns the selected city name on success or an error message.

Instructions

Selects the first item from the dropdown and waits for forecast page to load.

Returns: Success message with selected city name, error message otherwise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations to rely on, the description carries the full burden. It discloses that only the first dropdown item is selected, that it waits for page load, and that it returns a success message with the city name or an error. This is transparent enough for a simple UI action, though it omits any mention of state prerequisites or potential side effects.

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: two sentences plus a return line. Every sentence contributes meaningful detail (action, wait behavior, return format) without redundancy or filler.

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

Completeness4/5

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

For a simple zero-parameter UI action, the description fully explains what the tool does and what it returns. It does not explicitly mention dependencies on earlier steps (e.g., entering a city) or the context of the dropdown, but proximity to siblings and the tool name make these inferable, and the output schema further covers return details.

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?

There are zero parameters, and the input schema is empty, so the baseline is 4. The description correctly avoids inventing parameter details and its mention of 'first item' and the return message is sufficient context for this parameterless tool.

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 clearly states the tool selects the first item from the dropdown and waits for the forecast page to load. The specific verb 'selects' and resource 'weather forecast city' combined with the unique behavior ('first item', 'waits') distinguishes it from sibling tools like open, enter, and get content.

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 guidance is provided about when to use this tool versus alternatives. The description does not mention prerequisites, sequencing, or exclusionary cases, leaving the agent to infer usage solely from the tool's name and sibling context.

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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