Obtiene la lista de estudiantes inscritos en el curso configurado
AI agents call get_students to retrieve information from Moodle 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 student enrollment data from a configured course without creating, modifying, deleting, or executing any operations. It is a straightforward query operation that returns information only, making it a Read category tool with low severity—unauthorized access to student lists poses minimal direct risk compared to data modification or deletion tools.
From the tool's definition Tool name 'get_students' and description 'Obtiene la lista de estudiantes inscritos' (Gets the list of enrolled students) indicate a retrieval operation with no modification or execution of code.
Documented attack patterns abuse exactly the kind of access get_students gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Moodle MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_students:
{
"version": "1",
"default": "deny",
"tools": {
"get_students": {}
}
}get_students is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Obtiene la lista de estudiantes inscritos en el curso configurado. It is categorised as a Read tool in the Moodle MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Moodle MCP Server MCP server in PolicyLayer and add a rule for get_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 Moodle MCP Server. Nothing to install.
get_students 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_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.
Set action: deny in the PolicyLayer policy for get_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.
get_students is provided by the Moodle MCP Server MCP server (peancor/moodle-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 8 Moodle MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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8 Moodle MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.