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delete_draft_order

Permanently delete a draft order in OPEN or INVOICE_SENT status. Completed drafts are real orders and cannot be deleted.

Instructions

Permanently delete a draft order. Only OPEN/INVOICE_SENT drafts can be deleted — completed drafts are real orders and orders cannot be deleted (cancel them instead). Irreversible. Returns the deleted GID, or a no-op message if the GID didn't match anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesGID of a draft order to delete. Permanent. Cannot delete drafts that have been completed (those are real orders — orders cannot be deleted, only cancelled or archived).

Implementation Reference

  • The handler function for delete_draft_order. Executes the GraphQL mutation draftOrderDelete with the provided id, throws on user errors, and returns a success/no-op message.
    async (args) => {
      const data = await client.graphql<{
        draftOrderDelete: {
          deletedId: string | null;
          userErrors: ShopifyUserError[];
        };
      }>(DELETE_DRAFT_ORDER_MUTATION, { input: { id: args.id } });
      throwIfUserErrors(data.draftOrderDelete.userErrors, "draftOrderDelete");
      return {
        content: [
          {
            type: "text" as const,
            text: data.draftOrderDelete.deletedId
              ? `Deleted draft order ${data.draftOrderDelete.deletedId}.`
              : "No draft order matched; nothing deleted.",
          },
        ],
      };
    },
  • The input schema for delete_draft_order. Defines a single required 'id' field (string) with a descriptive message.
    const deleteDraftOrderSchema = {
      id: z
        .string()
        .describe(
          "GID of a draft order to delete. Permanent. Cannot delete drafts that have been completed (those are real orders — orders cannot be deleted, only cancelled or archived).",
        ),
    };
  • Registration of the delete_draft_order tool via server.tool(), which takes the name, description, schema, and handler. The function registerDraftOrderTools is exported and called from src/server.ts:62.
    server.tool(
      "delete_draft_order",
      "Permanently delete a draft order. Only OPEN/INVOICE_SENT drafts can be deleted — completed drafts are real orders and orders cannot be deleted (cancel them instead). Irreversible. Returns the deleted GID, or a no-op message if the GID didn't match anything.",
      deleteDraftOrderSchema,
      async (args) => {
        const data = await client.graphql<{
          draftOrderDelete: {
            deletedId: string | null;
            userErrors: ShopifyUserError[];
          };
        }>(DELETE_DRAFT_ORDER_MUTATION, { input: { id: args.id } });
        throwIfUserErrors(data.draftOrderDelete.userErrors, "draftOrderDelete");
        return {
          content: [
            {
              type: "text" as const,
              text: data.draftOrderDelete.deletedId
                ? `Deleted draft order ${data.draftOrderDelete.deletedId}.`
                : "No draft order matched; nothing deleted.",
            },
          ],
        };
      },
    );
  • The GraphQL mutation string used by delete_draft_order. Defines the DraftOrderDelete mutation that returns deletedId and userErrors.
    const DELETE_DRAFT_ORDER_MUTATION = /* GraphQL */ `
      mutation DraftOrderDelete($input: DraftOrderDeleteInput!) {
        draftOrderDelete(input: $input) {
          deletedId
          userErrors { field message }
        }
      }
    `;
Behavior5/5

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

With no annotations, the description fully covers behavioral traits: irreversibility, state constraints, and return format (deleted GID or no-op). No contradictions.

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?

Two sentences, each providing essential information. Front-loaded with the main action. No wasted words.

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 single parameter, no output schema, and no annotations, the description provides complete context: purpose, constraints, irreversibility, and return value.

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% for the single parameter id, so baseline is 3. The description adds context about return behavior, slightly enhancing understanding beyond the schema.

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 action: 'Permanently delete a draft order.' It specifies constraints on which drafts can be deleted (OPEN/INVOICE_SENT) and distinguishes from siblings like cancel_order for completed drafts/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 tells when to use (only for OPEN/INVOICE_SENT drafts), what not to use (completed drafts are real orders), and provides an alternative ('cancel them instead'). Also describes return behavior.

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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