get_weather_dashboard

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

No annotations are provided, so the description carries the disclosure burden. It discloses the core behavioral scope—combined current, 24-hour, and 10-day data—but does not address response format, location-resolution behavior, or edge cases such as missing or ambiguous locations.

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?

The description is two short sentences with the core behavior front-loaded and a practical use-case statement following it. There is no filler or redundant detail.

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?

The description names the returned forecast slices and gives a solid basic contract, but with no output schema and four optional parameters it leaves important invocation details implicit, such as whether query or lat/long is preferred or required. It is adequate but has clear gaps for fully confident invocation.

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?

Schema description coverage is 100%, so the input schema already documents query, units, latitude, and longitude; the baseline is therefore 3. The description adds little beyond 'for a location' and does not clarify how query relates to lat/long parameters, though the schema covers their individual meanings.

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 that the tool returns a bundled resource—current conditions, 24-hour forecast, and 10-day forecast—for a location, which distinguishes it from get_current_weather, get_hourly_forecast, and get_daily_forecast. It uses a noun phrase rather than an explicit action verb like 'returns', so it is clear but not maximally explicit.

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?

The phrase 'Best for filling a weather UI' gives a concrete use case and implies this is the consolidated choice when an agent needs all forecast slices together. It does not explicitly name alternatives or state when not to use it, but the context is reasonably clear.

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