Retrieve complete details for a specific feedback item including customer info, reporter, and associations. Args: - feedback_id (string): The ID of the feedback item (required) - response_format (
AI agents call launchnotes_get_feedback to retrieve information from LaunchNotes MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only retrieval operation on feedback data. It queries existing information (customer info, reporter, associations) without creating, modifying, deleting, or executing any operations. The blast radius of misuse is minimal—an attacker could only access feedback details already in the system, not modify or delete them.
From the tool's definition Tool name contains 'get' and description states 'Retrieve complete details for a specific feedback item' with no modification capabilities mentioned.
Attacks that exploit this kind of access
Retrieve complete details for a specific feedback item including customer info, reporter, and associations. Args: - feedback_id (string): The ID of the feedback item (required) - response_format (. It is categorised as a Read tool in the LaunchNotes MCP Server MCP Server, which means it retrieves data without modifying state.
Register the LaunchNotes MCP Server MCP server in PolicyLayer and add a rule for launchnotes_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 LaunchNotes MCP Server. Nothing to install.
launchnotes_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 launchnotes_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 launchnotes_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.
launchnotes_get_feedback is provided by the LaunchNotes MCP Server MCP server (launchnotes/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.
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