Advances the hint level for an active session and returns the next hint. Levels: 1 clarification → 2 approach → 3 implementation sketch → 4 solution unlock. The community-solutions tools become callable only after this has been driven to level 4.
AI agents call request_hint to retrieve information from Interactive Leetcode without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
request_hint is fundamentally a Read operation: it queries an internal hint system and returns information to the user. Although it has side effects (advancing hint state), those effects are purely informational progression through a tutorial or educational workflow, not data modification, code execution, or irreversible changes.
From the tool's definition The tool 'advances the hint level' and 'returns the next hint' — it retrieves and presents educational content without modifying data, deleting anything, or triggering external operations.
Documented attack patterns abuse exactly the kind of access request_hint gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Interactive Leetcode, and nothing reaches the server without passing your rules. This is the rule we recommend for request_hint:
{
"version": "1",
"default": "deny",
"tools": {
"request_hint": {}
}
}request_hint is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Advances the hint level for an active session and returns the next hint. Levels: 1 clarification → 2 approach → 3 implementation sketch → 4 solution unlock. The community-solutions tools become callable only after this has been driven to level 4. It is categorised as a Read tool in the Interactive Leetcode MCP Server, which means it retrieves data without modifying state.
Register the Interactive Leetcode MCP server in PolicyLayer and add a rule for request_hint: 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 Interactive Leetcode. Nothing to install.
request_hint 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 request_hint 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 request_hint. 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.
request_hint is provided by the Interactive Leetcode MCP server (@sperekrestova/interactive-leetcode-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Interactive Leetcode, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
24 Interactive Leetcode tools catalogued and risk-classified — across an index of 43,000+ MCP servers.