Medium Risk

save_leetcode_credentials

Validates and saves LeetCode credentials provided by the user. Validates credentials by making a test API call to LeetCode, then securely stores them for future authenticated requests.

Part of the Interactive Leetcode server.

save_leetcode_credentials 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 save_leetcode_credentials 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 save_leetcode_credentials 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": {
    "save_leetcode_credentials": {
      "limits": [
        {
          "counter": "save_leetcode_credentials_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Interactive Leetcode policy for all 18 tools.

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These attack patterns abuse exactly the kind of access save_leetcode_credentials 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 save_leetcode_credentials 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 save_leetcode_credentials tool do? +

Validates and saves LeetCode credentials provided by the user. Validates credentials by making a test API call to LeetCode, then securely stores them for future authenticated requests.. 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 save_leetcode_credentials? +

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

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

Can I rate-limit save_leetcode_credentials? +

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

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

save_leetcode_credentials 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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