AI agents call get_results to retrieve information from Leafeep without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries exam results data—submissions, answers, grades, and statistics. It performs no creation, modification, deletion, or execution of external operations. The verb 'Get' and the read-only nature of accessing exam data clearly places this in the Read category.
From the tool's definition Tool name 'get_results' and description 'Get full exam data: submissions, answers, grading, and statistics' indicate retrieval of existing data with no modification or side effects.
Attacks that exploit this kind of access
Get full exam data: submissions, answers, grading, and statistics. It is categorised as a Read tool in the Leafeep MCP Server, which means it retrieves data without modifying state.
Register the Leafeep 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 Leafeep. 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 Leafeep MCP server (xhae123/leafeep-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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