Get complete details for a specific insight including full description, impact analysis, recommendations, supporting feedback quotes, customer breakdown by segment, and related JIRA tickets.
AI agents call get_insight_details 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 insight data—descriptions, analyses, feedback, and breakdowns—without modifying, creating, or deleting anything. It has no side effects on the underlying data or external systems. The blast radius of misuse is minimal; an AI agent could retrieve more insight details than intended, but cannot alter product strategy or cause irreversible harm through data retrieval alone.
From the tool's definition Tool description uses retrieval language: 'Get complete details', 'including full description', 'supporting feedback quotes', 'customer breakdown'. The verbs are all passive data retrieval operations with no modification, creation, or deletion indicated.
Attacks that exploit this kind of access
Get complete details for a specific insight including full description, impact analysis, recommendations, supporting feedback quotes, customer breakdown by segment, and related JIRA tickets. 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 get_insight_details: 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.
get_insight_details 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_insight_details 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_insight_details. 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_insight_details 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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