This record as markdown: /tools/cowork-bench/canvas-get-syllabus.md
What canvas_get_syllabus does on Cowork Bench
AI agents call canvas_get_syllabus 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_syllabus is rated Low
This tool retrieves course syllabus information, which is a read-only operation. There is no indication of data creation, modification, deletion, code execution, or financial impact. The verb 'get' and passive data retrieval nature clearly align with the Read category. Severity is low because accessing syllabus data poses minimal risk even if misused by an agent.
From the tool's definition Tool name includes 'get' and description states 'Get course syllabus' — indicating retrieval of existing data with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs canvas_get_syllabus 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_syllabus, this is the rule to start with:
canvas_get_syllabus 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_syllabus call is checked against it from then on.
Questions about canvas_get_syllabus
Get course syllabus. 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_syllabus: 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_syllabus 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_syllabus 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_syllabus. 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_syllabus 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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