Booking.com hotel listing

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

With no annotations, the description carries the burden of behavioral disclosure. It only mentions that the data is 'structured' and lists example fields, but does not explain potential behaviors like required URL format, error handling, rate limits, or whether the output is a single listing or multiple. The transparency is minimal.

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 a single concise sentence that front-loads the core purpose and includes concrete example data fields. Every word is meaningful, with no redundant or irrelevant content.

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 tool with a single URL parameter, the description gives a basic expectation of output content but does not clarify whether 'hotel listings' means a single hotel or a list, nor does it discuss edge cases or supported URL variations. It is minimally viable but lacks contextual depth.

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 schema fully describes the only parameter ('url' with format 'uri' and description 'Booking.com hotel URL'), so schema coverage is 100%. The description adds no additional parameter-level detail beyond what the schema already provides, meeting the baseline but not exceeding it.

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 returns structured Booking.com hotel data with specific fields (price, rating, amenities, location), distinguishing it from other platform-specific tools. The name and title reinforce the resource, making the purpose unmistakable.

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 implies usage for Booking.com hotel data but does not explicitly state when to choose this tool over alternatives or provide any exclusions. No alternative tools are mentioned, so the guidance is left to inference from the tool name and category.

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