Get daily activity stats for a course: active students, answers submitted, average grade. Last 14 days by default.
AI agents call get_daily_activity 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 aggregate activity data (active student counts, submission counts, average grades) without creating, modifying, or deleting any data. The read-only server constraint and query-oriented nature confirm this is a Read category tool.
From the tool's definition Tool name 'get_daily_activity' and description 'Get daily activity stats for a course: active students, answers submitted, average grade' indicate retrieval of aggregated statistics with no modification capability.
Attacks that exploit this kind of access
Get daily activity stats for a course: active students, answers submitted, average grade. Last 14 days by default. 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 get_daily_activity: 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.
get_daily_activity 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_daily_activity 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_daily_activity. 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_daily_activity 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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