List lessons in a course. Optionally filter by topic name. Returns lesson name, type, due date, and IDs.
AI agents call list_lessons to retrieve information from Easycslearning 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 lesson metadata without creating, modifying, deleting, or executing any operations. It has no side effects and poses minimal risk even if misused by an AI agent, as it only exposes educational course structure data.
From the tool's definition Tool description explicitly states 'List lessons' and 'Returns lesson name, type, due date, and IDs' — purely informational retrieval with no modification. Server description confirms 'read-only access' to Firebase data.
Attacks that exploit this kind of access
List lessons in a course. Optionally filter by topic name. Returns lesson name, type, due date, and IDs. It is categorised as a Read tool in the Easycslearning MCP Server, which means it retrieves data without modifying state.
Register the Easycslearning MCP server in PolicyLayer and add a rule for list_lessons: 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 Easycslearning. Nothing to install.
list_lessons 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 list_lessons 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 list_lessons. 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.
list_lessons is provided by the Easycslearning MCP server (tsfir/easycslearning_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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