Submits code for a LeetCode problem (requires authentication). Starts a submission then polls the /check/ endpoint until finished, returning both the start response and final check JSON.
AI agents invoke submit_solution to trigger actions in Leetcode. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes code by submitting it to LeetCode's judge system, triggering external code execution on their servers. It is not merely writing data — it actively runs the submitted code and retrieves results. No financial or destructive implications; the primary action is triggering remote code execution/evaluation.
From the tool's definition Submits code for a LeetCode problem... Starts a submission then polls the /check/ endpoint until finished
Attacks that exploit this kind of access
Submits code for a LeetCode problem (requires authentication). Starts a submission then polls the /check/ endpoint until finished, returning both the start response and final check JSON. It is categorised as a Execute tool in the Leetcode MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Leetcode MCP server in PolicyLayer and add a rule for submit_solution: 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.
submit_solution is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the submit_solution 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 submit_solution. 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.
submit_solution 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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