Get the student\
AI agents call get_schedule to retrieve information from School MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves scheduling information without modifying, executing, or deleting any data. It has no side effects and presents minimal risk—the worst misuse would be information disclosure of the student's class schedule, which is low severity in an academic context.
From the tool's definition Tool name 'get_schedule' and context indicating it retrieves student schedule data from StudentVue dashboard.
Attacks that exploit this kind of access
Get the student\. It is categorised as a Read tool in the School MCP MCP Server, which means it retrieves data without modifying state.
Register the School MCP server in PolicyLayer and add a rule for get_schedule: 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 School MCP. Nothing to install.
get_schedule 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_schedule 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_schedule. 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_schedule is provided by the School MCP server (shengdynasty/school-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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