Get a thread of messages posted to a conversation by channel_id and thread_ts
AI agents call slack_conversations_replies 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 retrieves message thread data from Slack conversations. It performs a query/fetch operation ('Get') on existing data without creating, modifying, deleting, or executing any actions. The parameters (channel_id and thread_ts) are lookup keys. This is a straightforward Read category operation with low severity since it only accesses conversation messages and has no blast radius beyond information disclosure.
From the tool's definition Tool name 'slack_conversations_replies' and description 'Get a thread of messages posted to a conversation' indicate retrieval of existing data with no modification or side effects.
Documented attack patterns abuse exactly the kind of access slack_conversations_replies 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_replies:
{
"version": "1",
"default": "deny",
"tools": {
"slack_conversations_replies": {}
}
}slack_conversations_replies is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get a thread of messages posted to a conversation by channel_id and thread_ts. 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_replies: 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_replies 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_replies 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_replies. 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_replies 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.
Free to start. No card required.
359 Sage MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.