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Jacques-Murray

WooCommerce MCP Server

List WooCommerce Order Notes

woocommerce_list_order_notes
Read-onlyIdempotent

Retrieve internal or customer notes for a WooCommerce order. Filter by type (any, internal, customer) and get details like author, date, content, and visibility in markdown or JSON format.

Instructions

List the internal/customer notes attached to an order (e.g. fulfillment updates, payment gateway logs).

Args:

  • order_id (number, required)

  • type: 'any'|'customer'|'internal' (default: any)

  • response_format ('markdown'|'json'): default 'markdown'

Returns: list of notes with id, author, date, content, and whether it's customer-visible.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by note type (default: any)any
order_idYesThe numeric WooCommerce order ID
response_formatNoOutput format: 'markdown' for human-readable text or 'json' for machine-readable structured datamarkdown
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the behavior is transparent. The description adds that the tool returns a list of notes with specific fields, which is consistent.

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?

The description is concise, front-loaded with the purpose, and includes a clear Args list and return description. Every sentence adds value without redundancy.

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 rich annotations and complete schema, the description fully covers the tool's behavior. It specifies the return fields despite the lack of an output schema, making it complete.

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% with descriptions for all three parameters. The description adds clarity by explaining the response_format options (markdown for human-readable, json for machine-readable) and the type parameter's default value, 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 tool lists notes attached to an order (internal/customer), with examples like fulfillment updates and payment logs. It is distinct from sibling tools like create_order_note or 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 Guidelines4/5

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

Provides context on when to use (listing notes for an order) with examples, but does not explicitly state when not to use or contrast with alternatives like create_order_note.

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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