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BookingKoala: Cancel booking

bookingkoala_cancel_booking

BookingKoala: Cancel a booking, with or without the cancellation fee and the provider's share of it. Cancels one booking and moves it to the cancelled folder. charge_fee false cancels without your cancellation fee. pay_provider false skips the provider's share of the fee. reason takes one of the cancellation reasons you set up in BookingKoala. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNoOne of your cancellation reasons, if set up.
booking_idYesBooking ID from list_bookings.
charge_feeNoCharge your cancellation fee. Default: true.
pay_providerNoPay the provider out of the fee. Default: true.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Goes beyond the annotations (which only say readOnly=false, openWorld=true, destructive=false) by disclosing real effects: the fee is charged by default, the provider's share is paid by default, the booking is moved to a cancelled folder, confirmation is required by default and configurable, and it reaches other people. It also names the auth requirement (Cotlet API key). Rich behavioral disclosure.

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

Conciseness3/5

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

Purpose is front-loaded, but the paragraph carries some redundancy ('By default you confirm each call' vs. 'confirm with the user before each call') and a somewhat boilerplate API-key sentence, which slightly dilutes density.

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 4-parameter mutation tool with no output schema and only partial annotations, the description covers effects, defaults, confirmation policy, and auth, leaving little ambiguous. It does not describe the response, though no output schema exists to carry that, which is a minor gap.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds semantic meaning: it clarifies that false values suppress the fee/provider share (not just a toggle) and that reason must come from the user's configured reasons. This adds interpretation beyond the raw schema defaults.

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?

States a specific verb and resource (cancel a booking) plus scope ('one booking', moves it to the cancelled folder), and distinguishes it from siblings like list_bookings, get_booking, and reschedule_booking. An agent can identify exactly what this does.

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

Usage Guidelines4/5

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

Explains the conditional semantics of charge_fee and pay_provider (what false does) and states the reason must be a pre-configured cancellation reason, giving clear context for use. It does not, however, name an alternative tool or an explicit when-not-to-use condition, so it stops short of full routing guidance.

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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