canvas_get_course_grades
Get grades (enrollments) for a course. Paginated and projected to (user_id, type, enrollment_state, grades) to avoid huge dumps. Use page/per_page to page through, and type[] to filter by enrollment type (e.g. StudentEnrollment). For totals, prefer canvas_get_course_enrollment_counts / canvas_get...
This record as markdown: /tools/cowork-bench/canvas-get-course-grades.md
What canvas_get_course_grades does on Cowork Bench
AI agents call canvas_get_course_grades to retrieve information from Cowork Bench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why canvas_get_course_grades is rated Low
Even though canvas_get_course_grades only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs canvas_get_course_grades 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_get_course_grades, this is the rule to start with:
canvas_get_course_grades is read-only, so it stays allowed. 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_get_course_grades call is checked against it from then on.
Questions about canvas_get_course_grades
Get grades (enrollments) for a course. Paginated and projected to (user_id, type, enrollment_state, grades) to avoid huge dumps. Use page/per_page to page through, and type[] to filter by enrollment type (e.g. StudentEnrollment). For totals, prefer canvas_get_course_enrollment_counts / canvas_get_course_grade_summary. It is categorised as a Read tool in the Cowork Bench MCP Server, which means it retrieves data without modifying state.
Register the Cowork Bench MCP server in PolicyLayer and add a rule for canvas_get_course_grades: 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_get_course_grades is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the canvas_get_course_grades 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_get_course_grades. 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_get_course_grades 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.
More on Cowork Bench, and thousands of servers like it.
This server
Across the catalogue