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mark_booking_no_show

Mark attendees as no-shows for a booking by providing booking ID and attendee emails. Record missed appointments with this action.

Instructions

Mark one or more attendees as no-shows for a booking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
attendeesYesList of attendee no-show records, e.g., [{"email": "john@example.com", "noShow": true}]
booking_idYesBooking ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral transparency. It only states the action without disclosing side effects (e.g., notifications, booking status change, reversibility), prerequisites (e.g., booking must exist, attendees must be valid), or permission requirements. This is minimal and insufficient for an agent to fully understand the tool's behavior.

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?

The description is a single sentence, 'Mark one or more attendees as no-shows for a booking.' It is concise, front-loaded with the action and resource, and contains no filler. Every word contributes to the purpose.

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

Completeness3/5

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

Given the tool's moderate complexity (2 parameters, array input, output schema exists), the description is adequate but incomplete. It does not cover error cases, prerequisites, or behavior with partial failures. However, the presence of an output schema reduces the need to explain return values. The description provides the core action but misses supporting context that an agent might need.

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%, so the baseline is 3. The description adds no additional meaning beyond what the input schema already provides for 'booking_id' and 'attendees'. The description does not compensate or elaborate on parameter usage or constraints.

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

Purpose5/5

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

The description uses the specific verb 'Mark' and clearly identifies the resource: 'one or more attendees as no-shows for a booking'. This distinguishes it from sibling tools like cancel_booking (which cancels entire booking) and reschedule_booking. The purpose is unambiguous and well-defined.

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?

The description does not provide any explicit guidance on when to use this tool versus alternatives. While it is implied that this is for marking no-shows (as opposed to canceling the entire booking), there is no explicit when-to-use, when-not-to-use, or comparison with similar tools. The usage context is only implied by the name and short description.

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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