prepare_reservation_actionPrepare a fixture-only reservation action for review; never holds a room, books, pays, sends, or contacts a property. Use sample traveler placeholders only.
| Name | Required | Description | Default |
|---|---|---|---|
| option_id | Yes | ||
| room_rate_id | Yes | ||
| traveler_packet | Yes | ||
| special_requests | No | ||
| desired_action_mode | Yes | ||
| confirmation_language | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds valuable specificity by enumerating what the tool never does (hold a room, book, pay, send, contact a property), which goes beyond the generic annotation. This is transparent and reassuring without contradicting any annotations.
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, tightly worded sentence that front-loads the core purpose and then adds essential constraints. Every clause adds value with no dead weight.
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 tool has a complex schema (nested traveler_packet, multiple enums, 6 params) and no output schema. The description fails to explain how to construct required inputs or what the prepared action will look like. This leaves significant gaps for an agent to invoke it correctly.
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% schema description coverage, the description must compensate but does not. It mentions 'sample traveler placeholders' but does not explain any of the 6 parameters, including the nested traveler_packet object with required fields. This leaves users guessing about input formatting and semantics.
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's specific purpose: to prepare a fixture-only reservation action for review. It explicitly distinguishes itself from real booking operations by listing what it never does (holds, books, pays, sends, contacts), making it distinct from siblings that explain constraints or search availability.
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 gives clear context for use: it's for review/testing with sample traveler placeholders only. However, it does not explicitly name sibling alternatives or state when not to use this tool, so it falls short of a full 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct role: searching availability, explaining constraints, and preparing a reservation action. There is no overlap in their purposes, making it easy for an agent to select the correct tool.
All tool names follow the same verb_noun pattern: search_availability, explain_booking_constraints, prepare_reservation_action. The naming is consistent and predictable across the entire set.
With 3 tools, the server is well-scoped for a fixture-based booking demo. Each tool serves a distinct and necessary function within the stated purpose, and the count is appropriate for the server's limited scope.
The server covers the core stages of a booking workflow: searching, understanding constraints, and preparing an action. The only minor gap is the lack of explicit property listing or booking confirmation tools, but given the fixture-based nature, this is an acceptable limitation.