get_suggested_searches

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

Beyond annotations (readOnlyHint=true, destructiveHint=false), the description adds behavioral context: returns results based on preferences, recent searches, popular destinations, and upcoming holidays. This helps the agent understand the personalization logic.

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?

Three sentences plus a concise return description. Front-loaded with purpose. Every sentence earns its place. Could be slightly shortened, but no waste.

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 zero parameters and good annotations, the description covers purpose, usage context, and return value. No obvious gaps. An output schema exists, so return details are likely handled there.

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?

With 0 parameters and 100% schema coverage, the baseline is 4. The description adds value by explaining that results are influenced by user context and popular trends, which is not captured in the empty 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?

The description explicitly states it provides 'personalized travel suggestions and trip inspiration' and 'curated hotel recommendations'. It clearly distinguishes from sibling tools like search_hotels or get_hotel_details by focusing on suggestion-based discovery.

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?

Directly states when to use: 'Great for when the user doesn't know where to go.' While it doesn't list exclusions or alternatives, the sibling tool names and clear purpose allow the agent to make appropriate choices.

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