Get detailed information about a specific Coursera course including syllabus, instructor, duration, skills, and reviews.
AI agents call get_course_details to retrieve information from Coursera MCP Server 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 metadata without side effects. It falls squarely within the Read category as it performs a fetch operation to display course information. The low severity reflects minimal blast radius—misuse would only expose publicly available course details with no impact on data integrity, financial systems, or system stability.
From the tool's definition Tool description states 'Get detailed information about a specific Coursera course' with retrieval of syllabus, instructor, duration, skills, and reviews. No modification, deletion, or execution of external operations is indicated.
Attacks that exploit this kind of access
Get detailed information about a specific Coursera course including syllabus, instructor, duration, skills, and reviews. It is categorised as a Read tool in the Coursera MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Coursera MCP Server MCP server in PolicyLayer and add a rule for get_course_details: 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 Coursera MCP Server. Nothing to install.
get_course_details 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_details 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_details. 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_details is provided by the Coursera MCP Server MCP server (markswendsen-code/mcp-coursera). 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.
Teams ship this data inside their own products. See what a licence covers →