Search for AI-generated insights using natural language queries or filters. Insights are derived from clustered feedback and include severity, priority scores, and customer impact. Useful for finding product issues, feature requests, and opportunities.
AI agents call search_insights 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 data without side effects. It does not create, modify, delete, or execute operations. The search functionality returns pre-computed insights derived from feedback clustering, which is a read-only retrieval operation. The low severity reflects minimal blast radius—searching for insights poses no risk of data corruption, financial impact, or unintended external actions.
From the tool's definition The tool 'search_insights' performs a search/query operation to retrieve AI-generated insights from clustered feedback data.
Attacks that exploit this kind of access
Search for AI-generated insights using natural language queries or filters. Insights are derived from clustered feedback and include severity, priority scores, and customer impact. Useful for finding product issues, feature requests, and opportunities. 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_insights: 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_insights 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_insights 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_insights. 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_insights 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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