List issues for a specific project. Issues represent grouped error occurrences.
AI agents call list_issues to retrieve information from Bugsink 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 and queries error tracking data without creating, modifying, deleting, or executing anything. It is a passive read operation that returns information about grouped error occurrences. The blast radius of misuse is minimal—an attacker could only observe existing error data, not modify systems or access financial information.
From the tool's definition Tool name 'list_issues' and description 'List issues for a specific project' indicate a retrieval operation with no side effects. The server description confirms the tool 'supports listing projects, teams, issues' as a query capability.
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 Bugsink 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 for a specific project. Issues represent grouped error occurrences. It is categorised as a Read tool in the Bugsink MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Bugsink 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 Bugsink 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 Bugsink MCP Server MCP server (j-shelfwood/bugsink-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Bugsink 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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16 Bugsink MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.