Create a new GitHub Issue in a repository
AI agents use create_issue to create or update resources in Gitbridge — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gitbridge environment.
Creating an issue is a write operation that adds new content to a repository but does not irreversibly delete data or execute arbitrary code. While it could be misused to spam issues or create misleading reports, the blast radius is contained to issue creation and the action is reversible, warranting a medium severity classification.
From the tool's definition The tool is described as 'Create a new GitHub Issue in a repository', which creates new data (an issue) in a reversible manner. This is a write operation that can be undone by deleting the issue.
Documented attack patterns abuse exactly the kind of access create_issue gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gitbridge, and nothing reaches the server without passing your rules. This is the rule we recommend for create_issue:
{
"version": "1",
"default": "deny",
"tools": {
"create_issue": {
"limits": [
{
"counter": "create_issue_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} create_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.
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Create a new GitHub Issue in a repository. It is categorised as a Write tool in the Gitbridge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Gitbridge MCP server in PolicyLayer and add a rule for create_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 Gitbridge. Nothing to install.
create_issue is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_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.
Set action: deny in the PolicyLayer policy for create_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.
create_issue is provided by the Gitbridge MCP server (iotus/gitbridge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Gitbridge, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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16 Gitbridge tools catalogued and risk-classified — across an index of 43,000+ MCP servers.