Search raw feedback items using natural language queries or filters. Useful for finding specific customer mentions, exploring feedback from a source, or investigating topics. Returns original feedback with metadata.
AI agents call search_feedback to retrieve information from ProduckAI 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 and queries existing feedback data without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal security risk. The severity is low because searching feedback data poses no destructive or financial impact, and exposure would only allow viewing of information already intended for internal product analysis.
From the tool's definition Tool performs search and retrieval operations: 'Search raw feedback items using natural language queries or filters' and 'Returns original feedback with metadata.' These are read-only query operations with no modification, deletion, or execution capabilities.
Attacks that exploit this kind of access
Search raw feedback items using natural language queries or filters. Useful for finding specific customer mentions, exploring feedback from a source, or investigating topics. Returns original feedback with metadata. It is categorised as a Read tool in the ProduckAI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the ProduckAI MCP Server MCP server in PolicyLayer and add a rule for search_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 ProduckAI MCP Server. Nothing to install.
search_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 search_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 search_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.
search_feedback is provided by the ProduckAI MCP Server MCP server (rohitsaraff33-bit/produckai-mcp-server). 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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