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List attendees

list_booking_attendees
Read-onlyIdempotent

List the attendees of a booking with their names, emails and time zones.

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": {
      "bookingUid": "<bookingUid>"
    },
    "name": "list_booking_attendees"
  }
}

Input Schema

NameRequiredDescriptionDefault
bookingUidYesBooking UID (a string like '2NtaeaVcKfpmSZ4CthFdfk'), as returned by list_bookings or create_booking.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered structurally. The description adds the return-field set (names, emails, time zones), which is useful, but says nothing about ordering, pagination, or what happens with an invalid bookingUid — acceptable given the annotation coverage.

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

Conciseness4/5

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

One sentence, front-loaded with the verb and resource, zero filler. It is a touch bare for a tool whose only behavioral detail is the field list, but nothing is wasted.

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?

For a single-parameter read tool with full annotation coverage and a fully described schema, the description covers purpose and return fields — enough to call it correctly. The lack of an output schema is partially offset by naming the returned attributes, though ordering/shape remain unspecified.

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 description coverage is 100% and the single bookingUid parameter is well documented in-schema, including its origin from list_bookings or create_booking. The description contributes no additional parameter meaning, so the 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?

Specific verb+resource ("List the attendees of a booking") plus the fields returned (names, emails, time zones). It is clearly distinguishable from get_booking_attendee (singular) and list_bookings in intent, though it never names a sibling to sharpen the contrast.

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 only implied: the tool takes a bookingUid, so the agent infers it is for inspecting an existing booking's attendee roster. There is no explicit when-to-use vs. get_booking_attendee, no note about pagination or large rosters, and no stated prerequisite that the booking must exist.

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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