Slack 워크스페이스의 모든 채널 목록 조회
AI agents call slack_list_channels to retrieve information from MCP Slack Python without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves data (channel list) from the Slack workspace without modifying, deleting, or executing any operations. It is a straightforward query operation that returns information only. Severity is low because exposure only allows enumeration of existing channels, with minimal blast radius for an AI agent.
From the tool's definition Tool name 'slack_list_channels' and description indicating 'list lookup' (모든 채널 목록 조회 = retrieve all channels list). The tool retrieves channel information with no side effects.
Attacks that exploit this kind of access
Slack 워크스페이스의 모든 채널 목록 조회. It is categorised as a Read tool in the MCP Slack Python MCP Server, which means it retrieves data without modifying state.
Register the MCP Slack Python MCP server in PolicyLayer and add a rule for slack_list_channels: 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 Python. Nothing to install.
slack_list_channels 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_channels 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_channels. 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_channels is provided by the MCP Slack Python MCP server (minji337/mcp-slack-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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