create_group
Create a new group on your Thinkific site to organize and manage students or course participants effectively.
Instructions
Create a new group on the Thinkific site.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Group name |
Create a new group on your Thinkific site to organize and manage students or course participants effectively.
Create a new group on the Thinkific site.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Group name |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'Create' implies a mutation, the description lacks details on permissions required, whether the operation is idempotent, error handling, or what the response includes (e.g., group ID). This is a significant gap for a mutation tool with zero annotation coverage.
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, clear sentence with no wasted words, making it easy to parse and front-loaded with essential information. It efficiently communicates the core purpose without unnecessary elaboration.
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?
Given the tool's complexity as a mutation with no annotations and no output schema, the description is insufficient. It fails to address behavioral aspects like side effects, return values, or error conditions, leaving critical gaps for an AI agent to understand how to use it effectively.
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?
The input schema has 100% description coverage, with the single parameter 'name' documented as 'Group name'. The description does not add any additional semantic context beyond what the schema provides, such as naming conventions or constraints. Baseline 3 is appropriate when the schema does the heavy lifting.
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 action ('Create') and resource ('a new group on the Thinkific site'), making the purpose immediately understandable. However, it does not differentiate from sibling tools like 'create_user' or 'create_category' beyond specifying the resource type, which is adequate but not exceptional.
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 provides no guidance on when to use this tool versus alternatives, such as 'create_user' or 'gql_bulk_add_users_to_groups', nor does it mention prerequisites, exclusions, or contextual cues. It merely states what the tool does without operational context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ackbarguppi-ai/thinkific-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server