List my quizzes
list_my_quizzesList the connected student saved quizzes in Scholarize. Requires a connected Scholarize account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_my_quizzesList the connected student saved quizzes in Scholarize. Requires a connected Scholarize account.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive, and closed-world behavior, so the safety profile is fully covered. The description adds value beyond them by disclosing the connectivity precondition, which an agent must verify before calling; it says nothing about volume limits or return shape, which keeps it short of a 5.
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?
Two short sentences, zero waste, with the action front-loaded and the precondition following immediately. Nothing is padded or redundant.
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 zero-parameter, closed-world list tool with no output schema, the description covers what the agent needs to decide and invoke it. It could optionally note what is returned (quiz names/identifiers) and whether it is scoped to all saved quizzes or a subset, leaving a small gap.
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 takes zero parameters, so the baseline is 4 and there is no schema semantics for the description to expand upon. Nothing is missing on this dimension.
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?
States a specific verb (List) and resource (saved quizzes) scoped to the connected student's own account in Scholarize. The resource name naturally distinguishes it from its near-twin sibling list_my_flashcards, though no sibling is named explicitly.
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?
Provides one actionable prerequisite: a connected Scholarize account is required. However, it gives no when-to-use guidance relative to alternatives such as generate_quiz (create) or ask_ai_tutor, 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.