Low Risk

list_problem_solutions

Retrieves a list of community solutions for a specific LeetCode problem, including only metadata like topicId. To view the full content of a solution, use the 'get_problem_solution' tool with the topicId returned by this tool.

Part of the Interactive Leetcode server.

list_problem_solutions is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call list_problem_solutions to retrieve information from Interactive Leetcode without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though list_problem_solutions only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_problem_solutions": {}
  }
}

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These attack patterns abuse exactly the kind of access list_problem_solutions 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 list_problem_solutions only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the list_problem_solutions tool do? +

Retrieves a list of community solutions for a specific LeetCode problem, including only metadata like topicId. To view the full content of a solution, use the 'get_problem_solution' tool with the topicId returned by this tool.. It is categorised as a Read tool in the Interactive Leetcode MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_problem_solutions? +

Register the Interactive Leetcode MCP server in PolicyLayer and add a rule for list_problem_solutions: 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 list_problem_solutions? +

list_problem_solutions is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_problem_solutions? +

Yes. Add a rate_limit block to the list_problem_solutions 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 list_problem_solutions completely? +

Set action: deny in the PolicyLayer policy for list_problem_solutions. 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 list_problem_solutions? +

list_problem_solutions 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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