Get academic integrity flags (plagiarism / suspicious behaviour) for a course. Returns student name, lesson, exercise, flag types and severity.
AI agents call get_integrity_flags 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 existing academic integrity flag data (plagiarism/suspicious behaviour records) without altering, deleting, or executing anything. It is a straightforward read operation.
From the tool's definition Tool name is 'get_' prefix (retrieval operation); description states 'Get academic integrity flags' with no modification, deletion, or execution capability. Server is explicitly 'read-only access' to Firebase data.
Attacks that exploit this kind of access
Get academic integrity flags (plagiarism / suspicious behaviour) for a course. Returns student name, lesson, exercise, flag types and severity. 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_integrity_flags: 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_integrity_flags 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_integrity_flags 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_integrity_flags. 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_integrity_flags 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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