enter_weather_forecast_city_israel

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

Discloses the use of JS injection to bypass visibility issues, which is a notable behavioral trait. However, with no annotations, more details about side effects or prerequisites would be beneficial.

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

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

Extremely concise with two sentences. Each sentence is meaningful and front-loaded with the action and constraint.

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

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

Given the presence of an output schema, return values are not needed. However, the description omits workflow context, such as that the page should be loaded or that this tool is part of a sequence with sibling tools.

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

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

The description provides examples of proper input in Hebrew, adding constraint and concrete examples beyond the bare schema. This compensates for the 0% schema description coverage.

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

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

The description clearly states it enters a city name into a search box using JS injection. However, it does not differentiate from the sibling tool 'select_weather_forecast_city_israel', which may have a similar purpose.

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

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

No guidance on when to use this tool versus alternatives like 'select_weather_forecast_city_israel' or 'open_weather_forecast_israel'. Lacks context for proper tool selection.

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