Get detailed explanations of code or technical concepts
AI agents call copilot-explain to retrieve information from GitHub Copilot MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and analyzes code to provide explanations. It does not create, modify, delete, execute, or make financial transactions. It is a straightforward query/analysis tool that retrieves and presents information. The low severity reflects that misuse would only result in potentially misleading or verbose explanations, with no capability to harm systems or data.
From the tool's definition Tool description states 'Get detailed explanations of code or technical concepts' - a pure information retrieval operation with no side effects, data modification, or external actions.
Documented attack patterns abuse exactly the kind of access copilot-explain gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GitHub Copilot MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for copilot-explain:
{
"version": "1",
"default": "deny",
"tools": {
"copilot-explain": {}
}
} copilot-explain is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed explanations of code or technical concepts. It is categorised as a Read tool in the GitHub Copilot MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GitHub Copilot MCP Server MCP server in PolicyLayer and add a rule for copilot-explain: 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 GitHub Copilot MCP Server. Nothing to install.
copilot-explain is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the copilot-explain 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.
Set action: deny in the PolicyLayer policy for copilot-explain. 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.
copilot-explain is provided by the GitHub Copilot MCP Server MCP server (poorgramer-zack/copilot-mcp-tool). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GitHub Copilot MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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9 GitHub Copilot MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.