Get detailed information about a specific issue
AI agents call get_issue_details 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 queries and returns information about a GitHub issue. It performs a read operation with no capability to modify data, execute operations, or cause irreversible changes. The blast radius of misuse is minimal — an agent could only access issue information it may not have authorization to see, which is a confidentiality concern but not operationally damaging.
From the tool's definition Tool name is 'get_issue_details' and description states it 'Get detailed information about a specific issue' — retrieves issue data with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_issue_details 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 get_issue_details:
{
"version": "1",
"default": "deny",
"tools": {
"get_issue_details": {}
}
} get_issue_details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed information about a specific issue. 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 get_issue_details: 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.
get_issue_details 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 get_issue_details 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 get_issue_details. 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.
get_issue_details 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.
Free to start. No card required.
84 GitHub Repos Manager MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.