Get class roster
get_class_rosterWho is booked into one class session: each attendee's name, email, status, check-in time, and membership type used. [requires scope: read]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| class_session_id | Yes |
get_class_rosterWho is booked into one class session: each attendee's name, email, status, check-in time, and membership type used. [requires scope: read]
| Name | Required | Description | Default |
|---|---|---|---|
| class_session_id | Yes |
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 mark this as read-only and non-destructive. The description adds useful behavioral context beyond annotations by stating the required auth scope ('requires scope: read') and enumerating the returned fields, which helps the agent understand what the operation exposes without any side effects.
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?
The description is a single front-loaded sentence that names the resource, the output contents, and the required scope. Every phrase earns its place, with no vague filler or restating of the tool name.
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?
For a simple single-parameter read tool with annotations covering safety, the description provides enough context: the exact resource, the output fields, and the auth requirement. The main gap is not explaining how to source class_session_id or distinguishing from attendance_report, but the tool is simple enough that this is a minor omission.
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 0%, so the description carries the burden of explaining class_session_id, but it only says 'one class session' without clarifying what the ID is, where it comes from, or how to obtain it. The property name is somewhat self-explanatory, but the description does not meaningfully compensate for the missing schema documentation.
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 clearly states the resource ('one class session') and the exact information returned (attendee name, email, status, check-in time, membership type). This distinguishes it from siblings like list_classes, get_waitlist, and get_spot_map without needing to open schemas.
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 phrase 'one class session' implies this is for a single-session roster rather than broader scheduling or reporting tools, but there is no explicit guidance about when to prefer this over attendance_report, get_waitlist, or check_in_client. Usage context is implied rather than stated.
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.
Most tools have clearly distinct purposes, and the descriptions carefully separate operations like attendance_report, list_classes, and get_class_roster. A few reads overlap conceptually (get_client, get_reservation_history, get_credit_history, get_client_notes all return client-related data), but each has a specific output that an agent can distinguish with reasonable effort.
Tool names overwhelmingly follow a consistent action_object pattern: add_client_note, cancel_class, freeze_membership, refund_order, set_client_tag, unfreeze_membership. The get_/list_ prefix distinction is used predictably, and auth tools (login, logout, whoami) are standard exceptions rather than inconsistent naming.
41 tools is well beyond the 25+ threshold for a heavy tool set. Although each tool appears to serve a real studio-operations need, the sheer number creates a large surface for an agent to navigate and places significant burden on selection accuracy.
The tool set covers the core lifecycle well across clients, classes, memberships, orders, payments, and communications, with no obvious dead ends. Minor gaps exist, such as no update_client profile tool and no class-scheduling creation, but staff workflows can generally be completed.