Получить посещаемость за период
AI agents call get_attendance to retrieve information from Dnevnik Ru 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 educational attendance data without side effects. While it accesses sensitive student information (attendance records can reveal patterns about student behavior and commitment), the operation is read-only and reversible.
From the tool's definition Tool name 'get_attendance' and description 'Получить посещаемость за период' (Get attendance for a period) indicate data retrieval with no modification.
Attacks that exploit this kind of access
Получить посещаемость за период. It is categorised as a Read tool in the Dnevnik Ru MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Dnevnik Ru MCP Server MCP server in PolicyLayer and add a rule for get_attendance: 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 Dnevnik Ru MCP Server. Nothing to install.
get_attendance 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_attendance 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_attendance. 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_attendance is provided by the Dnevnik Ru MCP Server MCP server (yasg1988/dnevnik-mcp-server). 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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