AI agents call github_list_issues to retrieve information from autoMate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves/queries GitHub issues without creating, modifying, or deleting data. The absence of a description lowers confidence slightly, but the naming convention is clear. This is a standard read operation with minimal blast radius if misused—at worst, it could expose issue data the user already has access to. No financial, destructive, or code-execution elements are present.
From the tool's definition Tool name 'github_list_issues' indicates a query/listing operation. The 'list' prefix strongly suggests retrieval without modification.
Documented attack patterns abuse exactly the kind of access github_list_issues gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and autoMate, and nothing reaches the server without passing your rules. This is the rule we recommend for github_list_issues:
{
"version": "1",
"default": "deny",
"tools": {
"github_list_issues": {}
}
}github_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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github_list_issues. It is categorised as a Read tool in the autoMate MCP Server, which means it retrieves data without modifying state.
Register the autoMate MCP server in PolicyLayer and add a rule for github_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 autoMate. Nothing to install.
github_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 github_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 github_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.
github_list_issues is provided by the autoMate MCP server (yuruotong1/automate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 128 autoMate tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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128 autoMate tools catalogued and risk-classified — across an index of 42,500+ MCP servers.