Medium Risk

submit_solution

Submit a solution to a LeetCode problem and get results. Returns acceptance status, runtime/memory stats, or failed test case details.

Risk signalsAccepts freeform code/query input (code)

Part of the Interactive Leetcode server.

submit_solution can modify Interactive Leetcode data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use submit_solution to create or modify resources in Interactive Leetcode. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call submit_solution repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Interactive Leetcode.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "submit_solution": {
      "limits": [
        {
          "counter": "submit_solution_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Interactive Leetcode policy for all 18 tools.

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View all 18 tools →

These attack patterns abuse exactly the kind of access submit_solution gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so submit_solution only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the submit_solution tool do? +

Submit a solution to a LeetCode problem and get results. Returns acceptance status, runtime/memory stats, or failed test case details.. It is categorised as a Write tool in the Interactive Leetcode MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on submit_solution? +

Register the Interactive 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 Interactive Leetcode. Nothing to install.

What risk level is submit_solution? +

submit_solution is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit submit_solution? +

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.

How do I block submit_solution completely? +

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.

What MCP server provides submit_solution? +

submit_solution 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.

Enforce policy on every Interactive Leetcode tool call.

Deterministic rules across all 18 Interactive Leetcode tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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