How can I make MerchantSpring MCP results more reliable?

Broad prompts require the AI application to make assumptions about your intended metric, period, filters and output. A more specific prompt reduces the chance of the wrong tool or parameters being selected.

• The MerchantSpring connector by name
• The metric, report or business question
• Channels, marketplaces or countries to include
• A clear start and end date
• The required interval, such as daily, weekly or monthly
• Any product, channel or marketplace filters
• The comparison period, if required
• The preferred output, such as a table, summary or chart

Using the MerchantSpring connector, retrieve [metric/report] for [channels/marketplaces] covering [date range], grouped by [interval] and filtered by [criteria]. Compare it with [comparison period] and return [format]. State any assumptions before running the tools.

Using MerchantSpring, show weekly sales for all connected Amazon US channels from 1-31 July 2026, compare the result with June 2026, and return a table plus three key observations.

Review the selected period, filters and assumptions. For a high-impact or recurring workflow, validate the output and consider a direct API implementation.

Need more help? Contact MerchantSpring Support at support@merchantspring.io.