Close a GitHub issue with optional comment and reason.
AI agents use close_issue to create or update resources in GitHub MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GitHub MCP Server environment.
This tool modifies the state of a GitHub issue by closing it. While the action is reversible (issues can be reopened), it constitutes a write operation that changes data state. It does not delete or destroy data (which would be Destructive), nor does it execute arbitrary code or trigger uncontrolled external operations (which would be Execute).
From the tool's definition Tool name is 'close_issue' and description states it closes a GitHub issue with optional comment and reason. Closing an issue is a reversible modification operation—the issue can be reopened.
Attacks that exploit this kind of access
Close a GitHub issue with optional comment and reason. It is categorised as a Write tool in the GitHub MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GitHub MCP Server MCP server in PolicyLayer and add a rule for close_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 MCP Server. Nothing to install.
close_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 close_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 close_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.
close_issue is provided by the GitHub MCP Server MCP server (rriesco/github-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →