AI agents call get_timetables to retrieve information from Datagsm without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves NEIS-linked timetable information without modifying, deleting, or executing external operations. It is a read-only query operation that retrieves existing schedule data based on input parameters. No side effects or data mutations occur. Severity is low as timetable data is typically non-sensitive educational scheduling information.
From the tool's definition Tool name is 'get_timetables' and description states '조회합니다' (query/retrieve). The parameters request grade, class, and date/period inputs for retrieving timetable data.
Attacks that exploit this kind of access
NEIS 연동 시간표를 조회합니다. 학년과 반을 지정하고 날짜 또는 기간을 입력해야 합니다. It is categorised as a Read tool in the Datagsm MCP Server, which means it retrieves data without modifying state.
Register the Datagsm MCP server in PolicyLayer and add a rule for get_timetables: 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 Datagsm. Nothing to install.
get_timetables 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_timetables 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_timetables. 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_timetables is provided by the Datagsm MCP server (snowykte0426/datagsm-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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