get_at_risk_students

Get students flagged as medium or high risk in a course. Shows risk level, days inactive, lowest topic and average grade.

Server Easycslearning tsfir/easycslearning_mcp
Category Read
Risk class Low
Parameters 00 required

What get_at_risk_students does on Easycslearning

AI agents call get_at_risk_students 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.

Why get_at_risk_students needs a policy

This tool retrieves and displays risk assessment metadata about students (risk level, days inactive, grades) from an existing database. It performs no writes, deletes, executions, or financial transactions. The read-only server constraint and consistent retrieval semantics across all sibling tools confirm this is a Read category operation with low severity risk.

From the tool's definition Server explicitly described as 'read-only access' to Firebase data. Tool name 'get_at_risk_students' and description 'Get students flagged' indicates retrieval/query operation with no data modification or side effects.

Questions about get_at_risk_students

What does the get_at_risk_students tool do? +

Get students flagged as medium or high risk in a course. Shows risk level, days inactive, lowest topic and average grade. It is categorised as a Read tool in the Easycslearning MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_at_risk_students? +

Register the Easycslearning MCP server in PolicyLayer and add a rule for get_at_risk_students: 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.

What risk level is get_at_risk_students? +

get_at_risk_students is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_at_risk_students? +

Yes. Add a rate_limit block to the get_at_risk_students 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.

How do I block get_at_risk_students completely? +

Set action: deny in the PolicyLayer policy for get_at_risk_students. 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.

What MCP server provides get_at_risk_students? +

get_at_risk_students 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.

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