List assignees for a specific issue in a AtomGit repository
AI agents call list_issue_assignees to retrieve information from AtomGit MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a retrieval operation that queries and returns information about who is assigned to an issue. It has no side effects, creates no new data, executes no external commands, and does not delete or modify any resources. It falls clearly into the Read category with low severity since the blast radius of misuse is minimal—an AI agent could only retrieve already-public or authorized assignment information.
From the tool's definition The tool name 'list_issue_assignees' and description 'List assignees for a specific issue' indicate a read-only query operation that retrieves existing assignment data without modifying state.
Documented attack patterns abuse exactly the kind of access list_issue_assignees gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AtomGit MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_issue_assignees:
{
"version": "1",
"default": "deny",
"tools": {
"list_issue_assignees": {}
}
} list_issue_assignees is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List assignees for a specific issue in a AtomGit repository. It is categorised as a Read tool in the AtomGit MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AtomGit MCP Server MCP server in PolicyLayer and add a rule for list_issue_assignees: 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 AtomGit MCP Server. Nothing to install.
list_issue_assignees 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_issue_assignees 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_issue_assignees. 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_issue_assignees is provided by the AtomGit MCP Server MCP server (kaiyuanxiaobing/atomgit-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AtomGit 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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22 AtomGit MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.