Analyze a past promotion's impact vs baseline: revenue lift, order lift, AOV change, post-promo hangover, and product cannibalization.
AI agents call analyze_promotion to retrieve information from Shopify Forecast 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 historical promotion performance data to generate analytical insights. It performs retrospective analysis only—comparing past promotion results against baseline metrics. There are no side effects, data modifications, deletions, financial transactions, or code execution involved.
From the tool's definition Tool analyzes past promotion data and calculates metrics (revenue lift, order lift, AOV change, post-promo hangover, product cannibalization) without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
Analyze a past promotion's impact vs baseline: revenue lift, order lift, AOV change, post-promo hangover, and product cannibalization. It is categorised as a Read tool in the Shopify Forecast MCP Server, which means it retrieves data without modifying state.
Register the Shopify Forecast MCP server in PolicyLayer and add a rule for analyze_promotion: 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 Shopify Forecast. Nothing to install.
analyze_promotion 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 analyze_promotion 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 analyze_promotion. 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.
analyze_promotion is provided by the Shopify Forecast MCP server (mcostigliola321/shopify-forecast-mcp). 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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