Low Risk

list_issues

List issues for a specific project. Issues represent grouped error occurrences.

How to control list_issues ↓

What list_issues does on Bugsink MCP Server

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.

Low Risk

Why list_issues needs a policy

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:

How to control list_issues

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:

policy.json
{
  "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.

  1. Create a free account and register Bugsink MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about list_issues

What does the list_issues tool do? +

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.

How do I enforce a policy on list_issues? +

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.

What risk level is list_issues? +

list_issues is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_issues? +

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.

How do I block list_issues completely? +

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.

What MCP server provides list_issues? +

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.

Enforce policy on every Bugsink MCP Server tool call.

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.

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