canvas_get_user_grades
Get all grades for the current user
This record as markdown: /tools/cowork-bench/canvas-get-user-grades.md
What canvas_get_user_grades does on Cowork Bench
AI agents call canvas_get_user_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_user_grades is rated Low
This tool retrieves existing grade data for the current user. It performs a query/fetch operation without creating, modifying, deleting, or executing anything. The action is read-only and non-destructive, fitting squarely into the Read category with low severity since it only accesses user's own data.
From the tool's definition Tool name 'canvas_get_user_grades' and description 'Get all grades for the current user' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs canvas_get_user_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_user_grades, this is the rule to start with:
canvas_get_user_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_user_grades call is checked against it from then on.
Questions about canvas_get_user_grades
Get all grades for the current user. 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_user_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_user_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_user_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_user_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_user_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.
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