AI agents call slack_list_stars to retrieve information from MCP Slack without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves data (starred items) belonging to the authenticated user without modifying, creating, deleting, or executing any actions. It is purely informational. The server is explicitly described as 'Secure read-only MCP server for Slack workspaces', confirming this is a Read operation with minimal risk.
From the tool's definition Tool name 'slack_list_stars' and description 'List starred items for the authenticated user' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
List starred items for the authenticated user. It is categorised as a Read tool in the MCP Slack MCP Server, which means it retrieves data without modifying state.
Register the MCP Slack MCP server in PolicyLayer and add a rule for slack_list_stars: 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 MCP Slack. Nothing to install.
slack_list_stars 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 slack_list_stars 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 slack_list_stars. 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.
slack_list_stars is provided by the MCP Slack MCP server (pypi:mcp-slack-crunchtools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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