learningsuite_list_hub_templates
Retrieves all available hub templates from LearningSuite, enabling users to browse and select templates for hub creation.
Instructions
Get all hub templates
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieves all available hub templates from LearningSuite, enabling users to browse and select templates for hub creation.
Get all hub templates
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full behavioral burden, but it only states 'Get all hub templates' and adds little beyond the tool name. It does not disclose return format, authentication needs, rate limits, or any side effects, though it does imply a read-only operation.
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 is appropriately sized for a zero-parameter tool. Every word earns its place, with no superfluous content.
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 list tool without output schema, the description minimally conveys the operation. However, it lacks any additional context such as what a hub template is, whether pagination is used, or how results are formatted, making it adequate but not complete.
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 tool has zero parameters, so the baseline is 4. The description need not explain parameters, and none are present in the schema, so no gap exists.
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 'Get all hub templates' uses a specific verb ('Get') with a clear resource ('hub templates') and scope ('all'), distinguishing it from sibling tools like learningsuite_list_hubs which lists hubs, not templates.
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 guidance is provided on when to use this tool versus alternatives. It does not mention any context, prerequisites, or exclusions, leaving the agent without clear selection criteria.
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/fabienbutz/learningsuite-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server