AI agents call list_projects 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 queries and returns a list of projects without modifying, deleting, or executing any operations. It is a standard read operation. Severity is medium rather than low because listing all projects could expose sensitive information about the organization's error tracking infrastructure and project portfolio, which an AI agent should not blindly enumerate without authorization context.
From the tool's definition Tool name 'list_projects' and description 'List all projects in the Bugsink instance' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_projects 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_projects:
{
"version": "1",
"default": "deny",
"tools": {
"list_projects": {}
}
}list_projects is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all projects in the Bugsink instance. 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_projects: 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_projects 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_projects 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_projects. 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_projects 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.