get_problem_solution

Retrieves the complete content and metadata of a specific solution, including the full article text, author information, and related navigation links

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

What get_problem_solution does on Leetcode

AI agents call get_problem_solution 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_solution needs a policy

This tool only fetches and returns existing solution data (article text, author information, navigation links) without altering any state, executing code, or incurring costs. It is a standard data retrieval operation with minimal risk. Classification as Read is appropriate, with low severity due to the benign nature of accessing public or user-accessible solution content.

From the tool's definition The tool description states it 'Retrieves the complete content and metadata of a specific solution' — a retrieval operation with no modification or side effects.

Questions about get_problem_solution

What does the get_problem_solution tool do? +

Retrieves the complete content and metadata of a specific solution, including the full article text, author information, and related navigation links. 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_solution? +

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

What risk level is get_problem_solution? +

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

Can I rate-limit get_problem_solution? +

Yes. Add a rate_limit block to the get_problem_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 get_problem_solution completely? +

Set action: deny in the PolicyLayer policy for get_problem_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 get_problem_solution? +

get_problem_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.

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