List orders
acuity_list_ordersList store orders (product / package / gift-certificate purchases). Acuity REST: GET /orders.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| max | No | Max orders to return. | |
| No | Filter orders by buyer email. |
acuity_list_ordersList store orders (product / package / gift-certificate purchases). Acuity REST: GET /orders.
| Name | Required | Description | Default |
|---|---|---|---|
| max | No | Max orders to return. | |
| No | Filter orders by buyer email. |
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, so the tool is known to be read-only. The description adds the REST endpoint reference but no further behavioral traits like pagination behavior or authentication needs.
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?
Single sentence that efficiently conveys the tool's purpose without any redundant information.
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?
Despite the tool's simplicity, the description lacks context about the return format or behavior. No output schema exists, so the description should provide more information about what is returned, but it does not.
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% with descriptions for each parameter. The description adds no additional meaning beyond the schema, so baseline score of 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?
Description clearly states the tool lists store orders, specifies types (product/package/gift-certificate), and references the underlying REST endpoint. Distinguishes from sibling tools about other resources (appointments, clients, 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?
No explicit guidance on when to use or not use this tool. It is implied for listing store orders, but no mention of alternatives or prerequisites.
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.
Each tool targets a distinct resource and action (appointments, clients, calendars, etc.) with clear naming and no overlapping functionality.
All tools follow the consistent pattern 'acuity_<verb>_<noun>' with uniform verb choices (list, get, create, cancel, reschedule) and proper pluralization.
18 tools cover the essential aspects of a scheduling system (availability, appointments, clients, calendars, etc.) without being excessive or insufficient.
Core scheduling operations are well covered, but missing update and delete for clients, and read-only access to other entities (e.g., appointment types, blocks) may limit full lifecycle management.