copilot_suggest_gh · GitHub Copilot CLI MCP Server MCP

WHAT IT DOES

What copilot_suggest_gh does on GitHub Copilot CLI MCP Server

AI agents invoke copilot_suggest_gh to trigger actions in GitHub Copilot CLI MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why copilot_suggest_gh needs a policy

The description is empty, lowering confidence. Based on the server description and sibling tools, this tool likely suggests GitHub CLI (gh) commands. Suggestions alone would be Read, but GitHub CLI commands can execute operations like creating PRs, managing repos, triggering workflows — making misuse potentially high severity.

From the tool's definition Tool name 'copilot_suggest_gh' and server context wrapping GitHub Copilot CLI for natural language command suggestions for GitHub CLI commands

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

copilot_suggest_gh Rate-limited

copilot_suggest_gh stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "copilot_suggest_gh": {
      "limits": [
        {
          "counter": "copilot_suggest_gh_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches GitHub Copilot CLI MCP Server, so you can run agents against it safely.

FAQ

Questions about copilot_suggest_gh

What does the copilot_suggest_gh tool do? +

copilot_suggest_gh. It is categorised as a Execute tool in the GitHub Copilot CLI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on copilot_suggest_gh? +

Register the GitHub Copilot CLI MCP Server MCP server in PolicyLayer and add a rule for copilot_suggest_gh: 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 CLI MCP Server. Nothing to install.

What risk level is copilot_suggest_gh? +

copilot_suggest_gh is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit copilot_suggest_gh? +

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

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

copilot_suggest_gh is provided by the GitHub Copilot CLI MCP Server MCP server (wminson/copilot-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.