AI agents call list_issues to retrieve information from GitHub Repos Manager MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves issue data from a repository. It performs a query operation that returns information without creating, modifying, deleting, or executing any actions. The blast radius of misuse is minimal—an agent listing issues cannot damage data or cause unintended side effects beyond potentially excessive API calls or information exposure.
From the tool's definition Tool name 'list_issues' and description 'List issues in a repository' indicate a retrieval operation with no side effects. The verb 'list' is a classic Read operation that queries and returns data without modification.
Documented attack patterns abuse exactly the kind of access list_issues gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GitHub Repos Manager MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_issues:
{
"version": "1",
"default": "deny",
"tools": {
"list_issues": {}
}
}list_issues is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List issues in a repository. It is categorised as a Read tool in the GitHub Repos Manager MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GitHub Repos Manager MCP Server MCP server in PolicyLayer and add a rule for list_issues: 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 Repos Manager MCP Server. Nothing to install.
list_issues is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_issues 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 list_issues. 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.
list_issues is provided by the GitHub Repos Manager MCP Server MCP server (kurdin/github-repos-manager-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GitHub Repos Manager MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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84 GitHub Repos Manager MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.