canvas_start_quiz_attempt
Start a new quiz attempt. Returns a quiz_submission object with
This record as markdown: /tools/cowork-bench/canvas-start-quiz-attempt.md
What canvas_start_quiz_attempt does on Cowork Bench
AI agents invoke canvas_start_quiz_attempt to trigger actions in Cowork Bench. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why canvas_start_quiz_attempt is rated High
canvas_start_quiz_attempt triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs canvas_start_quiz_attempt safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cowork Bench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For canvas_start_quiz_attempt, this is the rule to start with:
canvas_start_quiz_attempt stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Cowork Bench, apply this rule, and every canvas_start_quiz_attempt call is checked against it from then on.
Questions about canvas_start_quiz_attempt
Start a new quiz attempt. Returns a quiz_submission object with. It is categorised as a Execute tool in the Cowork Bench MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cowork Bench MCP server in PolicyLayer and add a rule for canvas_start_quiz_attempt: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Cowork Bench. Nothing to install.
canvas_start_quiz_attempt is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the canvas_start_quiz_attempt rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for canvas_start_quiz_attempt. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
canvas_start_quiz_attempt is provided by the Cowork Bench MCP server (0717376/cowork_bench). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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