Creates a new issue in a GitHub repository.
AI agents use create_github_issue to create or update resources in Gemini Agent MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gemini Agent MCP Server environment.
Creating a GitHub issue is a write operation that adds data to a repository but does not delete, destroy, or execute external commands. The action is reversible (issues can be closed or deleted). While it could be misused to spam or harass via issue creation, the impact is bounded to GitHub issue tracking and doesn't involve financial transactions, code execution, or destructive operations.
From the tool's definition Tool name 'create_github_issue' and description 'Creates a new issue in a GitHub repository' indicate the tool creates new data in GitHub, which is a reversible write operation.
Attacks that exploit this kind of access
Creates a new issue in a GitHub repository. It is categorised as a Write tool in the Gemini Agent MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Gemini Agent MCP Server MCP server in PolicyLayer and add a rule for create_github_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 Gemini Agent MCP Server. Nothing to install.
create_github_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_github_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_github_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_github_issue is provided by the Gemini Agent MCP Server MCP server (leesinliang/geminicliagentmcp). 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.
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