Open a new issue in a repository
AI agents use gitea_create_issue to create or update resources in Crow — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Crow environment.
Creating an issue is a write operation that adds data to a repository. It is reversible (issues can be closed or deleted), so it does not qualify as Destructive. The blast radius is medium because misuse could spam repositories with unwanted issues, but the impact is limited to issue creation and does not compromise sensitive data or cause financial harm.
From the tool's definition Tool name is 'gitea_create_issue' and description states 'Open a new issue in a repository' — this creates new data (an issue) in a remote repository, which is a reversible write operation.
Documented attack patterns abuse exactly the kind of access gitea_create_issue gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for gitea_create_issue:
{
"version": "1",
"default": "deny",
"tools": {
"gitea_create_issue": {
"limits": [
{
"counter": "gitea_create_issue_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} gitea_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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Open a new issue in a repository. It is categorised as a Write tool in the Crow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Crow MCP server in PolicyLayer and add a rule for gitea_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 Crow. Nothing to install.
gitea_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 gitea_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 gitea_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.
gitea_create_issue is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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576 Crow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.