get_forecast

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

With no annotations, the description carries full responsibility for behavioral disclosure. It only states the basic action without revealing traits like data freshness, units, rate limits, or whether the operation is read-only. The agent cannot infer important constraints or 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.

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

The description is concise with two short sentences, avoiding fluff. However, the structure is a simple paragraph without front-loading the most critical details. It is efficient but could be better organized to highlight key information first.

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 tool's simplicity (2 params, no output schema), the description omits essential details such as the forecast timeframe, units, and response format. The absence of output schema increases the need for description completeness, which is not met. The agent is left guessing what data will be returned.

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 adds minimal value beyond the schema's property titles. It restates 'latitude of the location' and 'longitude of the location', which are already obvious from the parameter names. No ranges, formats, or semantics are provided, leaving the agent underinformed despite 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 the tool retrieves a weather forecast for a location using latitude/longitude. The verb is explicit and the resource is defined. However, it does not explicitly differentiate from sibling tool 'get_alerts', though the context implies they serve different data types.

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 is provided on when to use this tool versus alternatives (e.g., get_alerts). There are no explicit usage contexts, prerequisites, or exclusions, leaving the agent without direction on selecting this tool.

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