List webhooks
printify_list_webhooksList the webhooks configured for a shop. Printify REST: GET /v1/shops/{shop_id}/webhooks.json.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| shop_id | Yes | Shop id — required. |
printify_list_webhooksList the webhooks configured for a shop. Printify REST: GET /v1/shops/{shop_id}/webhooks.json.
| Name | Required | Description | Default |
|---|---|---|---|
| shop_id | Yes | Shop id — required. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, and the description's 'List' is consistent. It adds the REST endpoint, but no extra behavioral context like pagination, auth requirements, or result shape. With annotations present, the added value is moderate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no fluff. The first sentence is the clear purpose, the second provides the REST endpoint. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a simple list operation with a single required parameter and a readOnly annotation. The description sufficiently communicates the tool's scope and purpose, though it could mention the return type (list of webhooks) if output schema were absent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and shop_id is documented as 'Shop id — required.' The description repeats the endpoint path which implies the parameter usage but does not add meaning beyond the schema. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('List') and resource ('webhooks') and clearly scopes it to a shop ('configured for a shop'). This distinguishes it from sibling tools that list other entity types (orders, products, shops, etc.).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly implies when to use the tool: when you need to list webhooks for a shop. It does not mention alternatives or exclusions, but the context is straightforward and distinguishable from siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Every tool targets a unique resource and action, with clear distinctions between 'get' and 'list' operations for related entities (blueprints, products, orders) and separate tools for shipping quotes, publishing, and webhooks. Descriptions further clarify any potential overlap, such as 'get_print_providers' versus 'list_print_providers'.
All tool names follow a consistent 'printify_<verb>_<noun>' pattern, using singular nouns for single-resource operations and plural for listing operations. This predictable structure makes it easy to guess tool names and understand their purpose.
With 14 tools, the set is well-scoped for the Printify domain, covering catalog data (blueprints, providers, variants), shop resources (products, orders, uploads, webhooks), and key actions (shipping quotes, publishing). The count is within the ideal range and each tool serves a distinct function.
The server provides comprehensive read operations for all major resources and includes publishing, but it lacks create/update/delete tools for products, orders, uploads, and webhooks. This limits the agent to monitoring and publishing workflows rather than full lifecycle management, leaving notable gaps for a complete Printify integration.