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Get a conversation's orders

get_conversation_orders
Read-only

Read the store customer matched to a conversation (how they matched and whether the match is verified) and their Shopify orders, newest first, each with its id, number, status, totals, what is still refundable, items, fulfillments, tracking and shipping address. For chats, also the product or collection the shopper is viewing and their cart. Use an order's id with refund_order, cancel_order and check_return_eligibility.

Input Schema

NameRequiredDescriptionDefault
conversationIdYesThe Aide conversation id (`cnv_…`), from find_conversation.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered; the description adds real behavioral detail beyond them — newest-first ordering, match method and verification status, and the chat-only extras (viewed product/collection, cart). It omits any pagination or result-count limits, which keeps it from a 5.

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?

Front-loaded with the core action, then a dense but purposeful enumeration of returned fields, closing with a routing hint. The long field list is informative rather than padding, though it could be trimmed slightly.

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?

With no output schema, the description carries the return-value burden and does so thoroughly: order identity, status, totals, refundable amount, items, fulfillments, tracking, shipping address, plus chat-specific context. Nothing an agent needs to invoke it correctly is missing.

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 coverage is 100% and the single conversationId parameter is fully documented in the schema, so the baseline of 3 applies. The description adds no format, prefix, or sourcing detail beyond what the schema already says.

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 ('Read the store customer matched to a conversation ... and their Shopify orders') and pins the scope to a conversation, which separates it from lookup_orders and list_conversation_order_actions without opening either schema.

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?

It gives concrete downstream routing ('Use an order's id with refund_order, cancel_order and check_return_eligibility'), which tells the agent what this tool feeds into. It does not state when to prefer it over lookup_orders or get_customer_context, so it stops short of explicit alternatives/exclusions.

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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