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

Annotations already declare readOnlyHint=true and destructiveHint=false, so no contradiction exists. The description adds the expected forecast contents and purpose but does not disclose data source, update frequency, units, or response structure; with annotations covering the safety profile, this is adequate but not richly transparent.

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?

Two terse sentences front-load the action and then add useful output details without redundancy. Every phrase in the description earns its place.

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?

For a simple 3-parameter read-only weather query with no output schema, the description covers what the tool does, when to use it, and what it returns. It leaves out units and response format, but the low complexity and strong annotations make this a minor gap.

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?

Input schema covers 100% of parameters with descriptions, so the baseline is 3. 'Hotel destinations' maps to location and 'stay periods' hints at the optional end_date, but the description adds no syntax or formatting detail beyond the schema.

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?

Description opens with a specific verb and resource: 'Get weather forecast for hotel destinations and stay periods.' It names output categories (temperature, precipitation, outdoor activity conditions) and distinguishes itself from the sibling bus/car/flight_weather_forecast tools by explicitly targeting hotel stays and local activities.

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 description clearly scopes usage to planning hotel stays and local activities, which is a distinct context from the mode-specific weather siblings. It does not explicitly name alternatives or exclusions, so it stops one step short of a full when-to-use/not-to-use guide.

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