Pull product feedback messages from Bryan and others in the feedback channel. Supports flexible date filtering like
AI agents call get_stakeholder_feedback to retrieve information from Slack Feedback 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 retrieves feedback messages from a Slack channel with optional date filtering. It has no side effects, does not modify or delete data, and does not execute external operations. It is a straightforward read operation that fetches and returns information.
From the tool's definition Tool description states it 'Pull[s] product feedback messages' and 'Supports flexible date filtering' — pure retrieval of existing data with no creation, modification, or deletion capabilities.
Attacks that exploit this kind of access
Pull product feedback messages from Bryan and others in the feedback channel. Supports flexible date filtering like. It is categorised as a Read tool in the Slack Feedback MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Slack Feedback MCP Server MCP server in PolicyLayer and add a rule for get_stakeholder_feedback: 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 Slack Feedback MCP Server. Nothing to install.
get_stakeholder_feedback 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 get_stakeholder_feedback 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 get_stakeholder_feedback. 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.
get_stakeholder_feedback is provided by the Slack Feedback MCP Server MCP server (nmontoro44/slack-feedback-mcp). 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.
Teams ship this data inside their own products. See what a licence covers →