Use this tool to retrieve all modules within a specific Canvas course. This tool returns a list of module objects containing module details like ID, name, and status. Use this when exploring or navigating course content structure.
AI agents call get_modules to retrieve information from Canvas MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a query operation that fetches course module metadata without modifying, executing commands, deleting data, or committing financial actions. It is a standard read operation for exploring course content structure in Canvas LMS. The blast radius of misuse is low—an agent could retrieve information about course modules, but cannot modify curricula, grades, or user access.
From the tool's definition Tool description states it 'retrieve[s] all modules within a specific Canvas course' and 'returns a list of module objects containing module details.' The verb 'retrieve' and the read-only nature of querying course structure indicate no data modification or…
Attacks that exploit this kind of access
Use this tool to retrieve all modules within a specific Canvas course. This tool returns a list of module objects containing module details like ID, name, and status. Use this when exploring or navigating course content structure. It is categorised as a Read tool in the Canvas MCP MCP Server, which means it retrieves data without modifying state.
Register the Canvas MCP server in PolicyLayer and add a rule for get_modules: 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 Canvas MCP. Nothing to install.
get_modules 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 get_modules 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 get_modules. 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.
get_modules is provided by the Canvas MCP server (noahjohannessen/canvas-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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