Calculate VOC (Voice of Customer) scores for feedback or themes. Scores 0-100 based on customer impact, frequency, recency, sentiment, theme alignment, and effort. Higher scores = higher priority.
AI agents call calculate_voc_scores 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 reads and analyzes customer feedback attributes (impact, frequency, recency, sentiment, alignment, effort) to compute prioritization scores. It transforms data but does not create, modify, delete, or execute external operations. The output is a derived metric for decision-making, not a state-changing action.
From the tool's definition Tool description states it 'Calculate[s] VOC scores' based on existing feedback data—a purely computational/analytical operation with no mutation, deletion, or external side effects.
Attacks that exploit this kind of access
Calculate VOC (Voice of Customer) scores for feedback or themes. Scores 0-100 based on customer impact, frequency, recency, sentiment, theme alignment, and effort. Higher scores = higher priority. 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 calculate_voc_scores: 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.
calculate_voc_scores 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 calculate_voc_scores 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 calculate_voc_scores. 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.
calculate_voc_scores 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.
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