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Luno MCP Server

Luno MCP Server

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by luno
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cancel_order

DestructiveIdempotent

Cancel a working order by its ID. Safe to use on already cancelled or fully filled orders. Requires write permissions.

Instructions

Cancel a working order by ID. Idempotent at the Luno API level: cancelling an already-cancelled or fully-filled order returns the current state without error. Use after list_orders to remove a specific working order. Write operation: requires the --allow-write-operations flag or ALLOW_WRITE_OPERATIONS=true.

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": {
      "order_id": "<order_id>"
    },
    "name": "cancel_order"
  }
}

Input Schema

NameRequiredDescriptionDefault
order_idYesID of the order to cancel, as returned by list_orders or create_order.

Output Schema

NameRequiredDescriptionDefault
successYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.6.3
  2. Removedv0.6.2
  3. Changed2 schema fields changedv0.6.1
    • changedInput schema / properties / order_id / description
      Previous value: -"Order ID to cancel"New value: +"ID of the order to cancel, as returned by list_orders or create_order."
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "additionalProperties": false,
+  "properties": {
+    "success": {
+      "type": "boolean"
+    }
+  },
+  "required": [
+    "success"
+  ],
+  "type": "object"
+}
  4. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Adds context beyond annotations: idempotency detail and flag requirement. No contradictions with annotations.

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?

Three concise, front-loaded sentences with no redundant information. Every sentence earns its place.

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

Completeness5/5

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

Given the tool's simplicity (one parameter, annotations present, output schema exists), the description covers all necessary behavioral and usage context completely.

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?

With 100% schema coverage, the description adds minimal value (only reinforces usage context). Schema already explains parameter meaning.

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 clearly states the tool's action ('Cancel a working order by ID'), uses a specific verb+resource pair, and distinguishes itself from siblings by referencing list_orders.

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

Usage Guidelines5/5

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

Explicitly explains idempotent behavior, when to use (after list_orders), and the required write-operation flag, providing comprehensive usage 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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