AI agents call get_feedback to retrieve information from MCP TypeScript Starter without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves feedback (user input) with no side effects. It is a simple data retrieval operation that does not create, modify, delete, execute commands, or involve financial transactions. The low severity reflects minimal risk: feedback collection is a benign read operation.
From the tool's definition Tool name 'get_feedback' and description 'Request feedback from the user' indicate a read-only operation that queries or retrieves user input without modifying data or triggering external operations.
Documented attack patterns abuse exactly the kind of access get_feedback gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP TypeScript Starter, and nothing reaches the server without passing your rules. This is the rule we recommend for get_feedback:
{
"version": "1",
"default": "deny",
"tools": {
"get_feedback": {}
}
}get_feedback is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Request feedback from the user. It is categorised as a Read tool in the MCP TypeScript Starter MCP Server, which means it retrieves data without modifying state.
Register the MCP TypeScript Starter MCP server in PolicyLayer and add a rule for get_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 MCP TypeScript Starter. Nothing to install.
get_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_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_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_feedback is provided by the MCP TypeScript Starter MCP server (sammorrowdrums/mcp-typescript-starter). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP TypeScript Starter, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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8 MCP TypeScript Starter tools catalogued and risk-classified — across an index of 43,000+ MCP servers.