Reserve Now

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

With no annotations, the description carries the full behavioral burden, and it does so thoroughly. It discloses automatic stops on payment, prepayment, deposit, cancellation fees, captcha, and additional authentication; it also explains the final pre-click revalidation and the dry_run side-effect guarantees of no DB record and no completion notification.

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 dense but every sentence serves a purpose: the main action, the safety stop conditions, watch_id usage, and the dry_run mode. The critical behavioral details are front-loaded, and the length is justified by the high-risk nature of the tool.

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 is quite complete for a complex, mutation-capable tool: it covers real booking, safety gates, dry_run semantics, and watch_id behavior. Minor gaps remain around timeout_sec and the exact interplay of store_url, store_name, party_size, and target_date, but the output schema and descriptive parameter names mitigate this.

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 0%, so the description must compensate. It explains dry_run, watch_id, and the role of time, but store_url, store_name, party_size, target_date, and timeout_sec remain largely undefined. This is a partial compensation, not a complete one.

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 immediately states that the tool attempts an actual reservation immediately under specified conditions, with a clear verb and resource. It also distinguishes the real-booking mode from dry_run mode, making its purpose unambiguous relative to the watch-management siblings.

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 provides clear usage context: use watch_id to reuse a registered watch's details Bennett, and use dry_run=True specifically to verify that the real reservation flow still works safely after a site change. It does not explicitly contrast with check_availability or approve_reservation, but the intended cases are clear enough.

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