Official booking and contact links
get_booking_optionsOfficial website, booking page and public contact. Booking and payment are completed on the official site, never inside this AI tool.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_booking_optionsOfficial website, booking page and public contact. Booking and payment are completed on the official site, never inside this AI tool.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover read-only, idempotent, non-destructive, closed-world. The description adds a genuinely useful constraint not implied by annotations: nothing is booked or paid inside this AI tool, all transactions happen on the official site. That is the key behavioral fact an agent needs.
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 sentences, no filler, and the important constraint (booking/payment happen off-tool) is placed second for emphasis after the payload description. Nothing redundant.
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?
There is no output schema, so the description must carry the return shape, and it does at a high level (website, booking page, contact). It stops short of saying how the data is structured (single link vs. list of contacts) but is sufficient for a zero-parameter lookup tool.
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?
Zero parameters, so there is nothing to document and no schema gap; baseline 4 applies. The description correctly implies the call is parameterless by presenting it as a fixed pointer to official channels.
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 names the concrete payload — official website, booking page and public contact — which tells an agent what the tool returns. It lacks an explicit verb ('returns the ...') and only loosely differentiates from siblings like check_availability and get_quote, but the resource is 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?
Use is implied by the framing: this is the tool for booking and payment, which are handled off-tool. However, no sibling is named and there is no explicit 'use this when the user wants to book, not when they want prices/availability' routing statement.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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