AI agents call get_problem to retrieve information from Leetcode without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns publicly available problem information from LeetCode without creating, modifying, deleting, executing code, or triggering financial transactions. It is a straightforward data retrieval operation with no blast radius if misused by an AI agent.
From the tool's definition Tool name 'get_problem' and description states it 'Retrieves details about a specific LeetCode problem, including its description, examples, constraints, and related information'.
Attacks that exploit this kind of access
Retrieves details about a specific LeetCode problem, including its description, examples, constraints, and related information. It is categorised as a Read tool in the Leetcode MCP Server, which means it retrieves data without modifying state.
Register the Leetcode MCP server in PolicyLayer and add a rule for get_problem: 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 Leetcode. Nothing to install.
get_problem 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_problem 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_problem. 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_problem is provided by the Leetcode MCP server (@jinzcdev/leetcode-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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