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Get booking link

get_booking_link
Read-onlyIdempotent

Get a sip-it.io link that opens the booking form for a tasting, prefilled with date, time and party size. The guest completes the booking on Sip. For tastings not reserved through Sip, returns the winery's direct contact instead.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "experience_id": "<experience_id>"
    },
    "name": "get_booking_link"
  }
}

Input Schema

NameRequiredDescriptionDefault
dateNoPreferred date (YYYY-MM-DD).
timeNoPreferred start time (HH:mm), ideally from check_availability.
guestsNoParty size. Default 2.
experience_idYesExperience id from get_winery.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent and closed-world, so safety is covered. The description adds genuinely useful behavior beyond them: the output may be either a Sip booking link or, for non-Sip tastings, the winery's direct contact. It does not say whether the link expires or whether generating it notifies anyone, leaving a gap above the annotation floor.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tightly written sentences, with the primary purpose and return value front-loaded and the fallback case second. No filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description does the necessary work of explaining what comes back (a prefilled link versus a direct contact). For a five-parameter-free read-only link generator that is largely complete; only link lifetime and side-effect questions remain unaddressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, with each parameter already documented including patterns and a pointer to check_availability for the time value. The description only restates the prefilled fields (date, time, party size) at a conceptual level, adding almost no syntax or constraint detail beyond the schema, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: it produces a sip-it.io booking-form link prefilled with date, time and party size, and notes the guest finishes on Sip. That is far clearer than a generic 'get link', though it never names a sibling (e.g. check_availability or get_winery) to contrast against, which keeps it at 4 rather than 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the flow context ('the guest completes the booking on Sip'), and the fallback sentence tells the agent what happens for tastings not booked through Sip. But it never says explicitly when to call this instead of check_availability or get_winery, so selection guidance is left to inference.

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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