Get full details of a specific feedback item including all comments, attachments, and session data. IMPORTANT: For screenshot feedback, the response includes a
AI agents call feedback_get to retrieve information from Feedbucket MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves data about a specific feedback item without modifying, deleting, or executing operations. It queries existing feedback details and returns information, which is a typical Read operation. The severity is low because data retrieval has minimal blast radius unless the feedback contains highly sensitive personal information, but the tool itself performs no destructive or side-effecting actions.
From the tool's definition Tool description states 'Get full details of a specific feedback item including all comments, attachments, and session data.' The verb 'Get' and the phrase 'retrieves' full details indicates a read-only operation with no modifications.
Attacks that exploit this kind of access
Get full details of a specific feedback item including all comments, attachments, and session data. IMPORTANT: For screenshot feedback, the response includes a. It is categorised as a Read tool in the Feedbucket MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Feedbucket MCP Server MCP server in PolicyLayer and add a rule for feedback_get: 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 Feedbucket MCP Server. Nothing to install.
feedback_get 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 feedback_get 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 feedback_get. 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.
feedback_get is provided by the Feedbucket MCP Server MCP server (swiftcomza/feedbucket-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
feedback_get is one line of Feedbucket MCP Server's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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