List my quizzes
list_my_quizzesList the connected student saved quizzes in ScholarNet. Requires a connected ScholarNet account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_my_quizzesList the connected student saved quizzes in ScholarNet. Requires a connected ScholarNet account.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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?
The description adds a behavioral prerequisite beyond the annotations by stating that a connected ScholarNet account is required, which is a meaningful operational constraint. The annotations already establish readOnlyHint, idempotentHint, and destructiveHint, and the description does not contradict them.
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 sentence that front-loads the core action and resource, then adds the essential prerequisite. Every word earns its place, with no redundancy or filler.
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 zero-parameter list operation with strong annotations covering safety and idempotence, the description is almost complete. It covers what is listed and the key prerequisite, though it could arguably mention that it only returns the current user's saved quizzes, but the title already conveys 'my'.
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 there is no parameter information that the description needs to clarify. The description appropriately focuses on the tool's purpose and precondition rather than inventing parameter detail.
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 states a specific verb ('List') and a clear resource ('connected student saved quizzes in ScholarNet'), making the tool's function immediately understandable. It does not explicitly differentiate from siblings like list_my_flashcards or generate_quiz, but the 'saved quizzes' scope is distinct enough to avoid confusion.
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 a clear prerequisite ('Requires a connected ScholarNet account'), which gives context for when the tool can be used. It does not explicitly state when to use this tool versus alternatives such as list_my_flashcards or generate_quiz, leaving that inference to the agent.
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 completely distinct student need: citation formatting, study planning, and thesis statement generation. There is no meaningful overlap or ambiguity between their purposes.
All three tools follow the same clear verb_noun pattern with the prefix generate_ and a specific object. The naming is fully consistent and predictable.
With three focused generation tools, the server is well-scoped for its stated purpose. Each tool earns its place without feeling redundant or excessive.
The core generation tasks for study planning, thesis statements, and citations are all covered. Minor adjacent gaps exist, such as no bibliography-list generation or essay outline tool, but the main workflows are complete.