Medium Risk

lock_issue

Lock an issue to prevent further comments

How to control lock_issue ↓

What lock_issue does on GitHub Repos Manager MCP Server

AI agents use lock_issue to create or update resources in GitHub Repos Manager MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GitHub Repos Manager MCP Server environment.

Medium Risk

Why lock_issue needs a policy

This tool modifies the state of a GitHub issue (locks it) to change its behavior, which is a reversible Write operation. While it restricts commenting, the issue itself remains intact and the action can be undone by unlocking. The severity is medium because misuse could disrupt team collaboration by locking issues inappropriately, but the impact is non-destructive and reversible.

From the tool's definition Tool name 'lock_issue' and description 'Lock an issue to prevent further comments' indicates a state modification action that prevents future interactions but does not delete or destroy data.

Documented attack patterns abuse exactly the kind of access lock_issue gives an agent:

How to control lock_issue

PolicyLayer is an MCP gateway — it sits between your AI agents and GitHub Repos Manager MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for lock_issue:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "lock_issue": {
      "limits": [
        {
          "counter": "lock_issue_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

lock_issue stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register GitHub Repos Manager MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

Go deeper

Questions about lock_issue

What does the lock_issue tool do? +

Lock an issue to prevent further comments. It is categorised as a Write tool in the GitHub Repos Manager MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on lock_issue? +

Register the GitHub Repos Manager MCP Server MCP server in PolicyLayer and add a rule for lock_issue: 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 Repos Manager MCP Server. Nothing to install.

What risk level is lock_issue? +

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

Can I rate-limit lock_issue? +

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

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

lock_issue is provided by the GitHub Repos Manager MCP Server MCP server (kurdin/github-repos-manager-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GitHub Repos Manager MCP Server tool call.

Start from GitHub Repos Manager MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

84 GitHub Repos Manager MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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