manage_labels · Mcp Github MCP: Risk & Policy

WHAT IT DOES

What manage_labels does on Mcp Github

AI agents use manage_labels to create or update resources in Mcp Github — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Github environment.

WHY IT NEEDS A POLICY

Why manage_labels needs a policy

The tool's primary functions are creating and updating labels, which are reversible Write operations. While deletion is mentioned as a capability, the tool description emphasizes management (create, update) over destruction. Deleting labels has limited blast radius since labels are metadata without direct code/infrastructure impact.

From the tool's definition Tool supports 'creating new labels, updating existing labels (name, color, description), and deleting labels.' The create/update operations are reversible Write actions; deletion of labels is mentioned but is clearly subordinate to the primary stated…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

manage_labels Rate-limited

manage_labels 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "manage_labels": {
      "limits": [
        {
          "counter": "manage_labels_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about manage_labels

What does the manage_labels tool do? +

Manage repository labels. Supports listing all labels, creating new labels, updating existing labels (name, color, description), and deleting labels. It is categorised as a Write tool in the Mcp Github MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_labels? +

Register the Mcp Github MCP server in PolicyLayer and add a rule for manage_labels: 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 Mcp Github. Nothing to install.

What risk level is manage_labels? +

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

Can I rate-limit manage_labels? +

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

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

manage_labels is provided by the Mcp Github MCP server (sheeryn123/mcp-github-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.