github_list_issues
List issues for a repository
This record as markdown: /tools/io-github-alifanov-scopegate/github-list-issues.md
What github_list_issues does on ScopeGate
AI agents call github_list_issues to retrieve information from ScopeGate without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why github_list_issues is rated Low
This tool retrieves and displays existing GitHub issues without creating, modifying, or deleting data. It is a non-destructive read operation that queries repository metadata. The scope is limited to information retrieval, making it low severity.
From the tool's definition Tool name 'github_list_issues' and description 'List issues for a repository' indicate a query/retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs github_list_issues safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ScopeGate, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For github_list_issues, this is the rule to start with:
github_list_issues is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ScopeGate, apply this rule, and every github_list_issues call is checked against it from then on.
Questions about github_list_issues
List issues for a repository. It is categorised as a Read tool in the ScopeGate MCP Server, which means it retrieves data without modifying state.
Register the ScopeGate 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 ScopeGate. 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 ScopeGate MCP server (https://mcp.scopegate.cloud/{api_key}). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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