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UCP: complete checkout

complete_checkout

Complete a UCP checkout: places the table request(s) with Dubai Table. There is no booking fee, so the session completes without payment and the relationship manager confirms on WhatsApp.

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": {
      "id": "<id>"
    },
    "name": "complete_checkout"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYes
metaNo
checkoutNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, and the description adds useful context: no booking fee, no payment step, relationship manager confirms on WhatsApp. However, it omits the state consequences (what happens to the checkout session after completion, whether it becomes immutable, what confirmation response looks like) and doesn't reconcile the payment object in the schema with the claim of 'no payment'. Useful but incomplete.

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?

Two efficient sentences, front-loaded with the action and followed by the key behavioral fact (no fee/no payment). No filler, though the WhatsApp detail is helpful rather than wasteful.

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?

An output schema exists, so return-value explanation isn't required. But for a non-idempotent mutation with nested, undocumented parameters, the description should cover preconditions and post-completion state; those gaps keep it at 'adequate but incomplete'.

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

Parameters2/5

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

Schema description coverage is 0% for 3 parameters, including nested 'meta' (idempotency-key) and 'checkout' (buyer, payment). The description adds no parameter meaning at all — it doesn't explain the required 'id' or the role of the checkout/payment objects, and its 'no payment' statement sits uneasily with a 'payment' parameter. Below the low-coverage baseline.

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?

The description states a specific verb and resource ('Complete a UCP checkout: places the table request(s) with Dubai Table'), clearly distinguishing it from siblings like create_checkout or update_checkout. It adds real-world semantics (tables are placed with the venue) beyond the name. It lacks an explicit contrast to get_checkout/cancel_checkout, but the purpose is unmistakable.

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 verb 'complete' and the surrounding lifecycle (create_checkout, update_checkout, complete_checkout), but the description never explicitly says when to call this versus those siblings or what prerequisites exist (e.g., an open checkout from create_checkout). An agent must infer the workflow.

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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