Get the detailed page fragments and sections for a specific course (including presentations, lecturer names, assignments, and other files).
AI agents call get_course_content to retrieve information from Ekursy Mcp Py without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries course materials without side effects. It does not create, modify, delete, or execute anything—it only reads and returns existing course data. Typical Read category tool with minimal risk if misused by an AI agent, since the worst outcome is accessing course information the agent may not have authorization for, but no data is altered or actions triggered.
From the tool's definition Tool description states it 'Get[s] the detailed page fragments and sections for a specific course' with no modification, deletion, or execution capability mentioned. Returns static course content: 'presentations, lecturer names, assignments, and other files'.
Attacks that exploit this kind of access
Get the detailed page fragments and sections for a specific course (including presentations, lecturer names, assignments, and other files). It is categorised as a Read tool in the Ekursy Mcp Py MCP Server, which means it retrieves data without modifying state.
Register the Ekursy Mcp Py MCP server in PolicyLayer and add a rule for get_course_content: 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 Ekursy Mcp Py. Nothing to install.
get_course_content 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_course_content 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_course_content. 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_course_content is provided by the Ekursy Mcp Py MCP server (markrz-0/ekursy-mcp-server). 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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