update_issue

THE RISK

Medium Risk

Why update_issue needs a policy

This tool creates or modifies data reversibly without deleting or destroying information. Updating an issue involves changing issue properties (title, description, status, assignees, labels) which can be undone or reverted. While it can affect collaborative workflows and project tracking, the impact is limited to metadata modifications rather than destructive operations or code execution.

From the tool's definition 'Update an existing issue in a GitHub repository' - the tool modifies existing data (issue content, status, labels, etc.) in GitHub, which is a reversible operation.

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

POLICY

How to control update_issue

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP-Brave-Search, and nothing reaches the server without passing your rules. This is the rule we recommend for update_issue:

policy.json

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

update_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.

Create a free account and register MCP-Brave-Search — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about update_issue

What does the update_issue tool do? +

Update an existing issue in a GitHub repository. It is categorised as a Write tool in the MCP-Brave-Search MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_issue? +

Register the MCP-Brave-Search MCP server in PolicyLayer and add a rule for update_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 MCP-Brave-Search. Nothing to install.

What risk level is update_issue? +

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

Can I rate-limit update_issue? +

Yes. Add a rate_limit block to the update_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 update_issue completely? +

Set action: deny in the PolicyLayer policy for update_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 update_issue? +

update_issue is provided by the MCP-Brave-Search MCP server (modelcontextprotocol/servers-archived). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP-Brave-Search tool call.

Start from MCP-Brave-Search, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →