Skip to main content
Glama

enter_weather_forecast_city_israel

Enter a city name to search for its weather forecast in Israel.

Instructions

Enter city name in the weather forecast search field.

Args: city_name: Name of the city to search for weather forecast

Returns: dict: Operation result with city entered and search ready

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
city_nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions that the operation results in 'city entered and search ready,' implying a state change, but does not disclose side effects such as clearing previous input, requiring a loaded page, or whether it is safe/idempotent. This is minimal for a UI interaction.

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 concise and structured with an Args and Returns section, making it easy to parse. It contains no redundant content and front-loads the primary action. The format is slightly formal but appropriate.

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?

For a simple tool with one parameter and no output schema, the description covers the core action and parameter meaning. However, it lacks any guidance on when to use it relative to siblings and does not elaborate on behavioral details or expected outcomes beyond a basic return dict. This is adequate but not comprehensive.

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 coverage is 0%, so the description is the only source of parameter meaning. It defines 'city_name' as 'Name of the city to search for weather forecast,' which adds clarity beyond the schema's simple 'City Name' title. This effectively compensates for the lack of schema descriptions.

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 action: 'Enter city name in the weather forecast search field.' The verb 'enter' and resource 'city name' specify what the tool does. It is not a tautology and distinguishes itself from siblings implicitly (e.g., 'select' and 'open' would be different actions), though it does not explicitly name alternatives.

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 on when to use this tool versus siblings like select_weather_forecast_city_israel or open_weather_forecast_israel. There is no mention of prerequisites, sequencing, or context. The description only states the action, leaving the agent without direction on tool selection.

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