get_problem_submission_report

Retrieves detailed information about a specific LeetCode submission by its ID, including source code, runtime stats, and test results (requires authentication)

Server Leetcode @jinzcdev/leetcode-mcp-server
Category Read
Risk class Low
Parameters 00 required

What get_problem_submission_report does on Leetcode

AI agents call get_problem_submission_report to retrieve information from Leetcode without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_problem_submission_report needs a policy

This tool queries and returns data about a LeetCode submission without modifying, deleting, or executing any operations. While it requires authentication and may expose sensitive information (source code of submissions), the action itself is a pure read operation.

From the tool's definition Tool description states it 'Retrieves detailed information about a specific LeetCode submission by its ID, including source code, runtime stats, and test results'.

Questions about get_problem_submission_report

What does the get_problem_submission_report tool do? +

Retrieves detailed information about a specific LeetCode submission by its ID, including source code, runtime stats, and test results (requires authentication). It is categorised as a Read tool in the Leetcode MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_problem_submission_report? +

Register the Leetcode MCP server in PolicyLayer and add a rule for get_problem_submission_report: 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.

What risk level is get_problem_submission_report? +

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

Can I rate-limit get_problem_submission_report? +

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

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

get_problem_submission_report 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.

// LOOK UP ANOTHER 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.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.