get_results
AI agents call get_results to retrieve information from Smartschool 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 academic results/grades from a Smartschool account. It has no side effects, does not modify data, and does not execute code or trigger external operations. It is a read-only query operation consistent with the server's stated purpose of information retrieval.
From the tool's definition Tool name 'get_results' combined with sibling tools that are all read-only queries ('get_attachments', 'get_courses', 'get_messages', 'get_schedule', 'get_reports').
Attacks that exploit this kind of access
get_results. It is categorised as a Read tool in the Smartschool MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Smartschool MCP Server MCP server in PolicyLayer and add a rule for get_results: 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 Smartschool MCP Server. Nothing to install.
get_results 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_results 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_results. 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_results is provided by the Smartschool MCP Server MCP server (maurodruwel/smartschool-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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