AI agents call slack_conversations_list to retrieve information from Sage MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and lists existing data (Slack channels) without creating, modifying, deleting, or executing any operations. It has a minimal blast radius—an AI agent misusing it could only enumerate channels, not alter them or access sensitive data within channels. The confidentiality concern (channel names/existence) is low for a workspace member querying their own workspace.
From the tool's definition Tool name 'slack_conversations_list' and description 'List channels available in the workspace' indicate a retrieval operation with no side effects. 'List' is a query verb that retrieves and enumerates data.
Documented attack patterns abuse exactly the kind of access slack_conversations_list gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sage MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for slack_conversations_list:
{
"version": "1",
"default": "deny",
"tools": {
"slack_conversations_list": {}
}
}slack_conversations_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List channels available in the workspace. It is categorised as a Read tool in the Sage MCP MCP Server, which means it retrieves data without modifying state.
Register the Sage MCP server in PolicyLayer and add a rule for slack_conversations_list: 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 Sage MCP. Nothing to install.
slack_conversations_list 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_conversations_list 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_conversations_list. 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_conversations_list is provided by the Sage MCP server (sagemcp/sagemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 359 Sage MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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359 Sage MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.