run_shopifyql_query
Execute a ShopifyQL query for custom analytics and reporting
This record as markdown: /tools/uvu-store-shopify-graphql-mcp/run-shopifyql-query.md
What run_shopifyql_query does on Shopify Graphql
AI agents invoke run_shopifyql_query to trigger actions in Shopify Graphql. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why run_shopifyql_query is rated High
This tool falls under Execute rather than Read because it actively runs/executes queries whose effects and data access scope depend entirely on the query arguments provided by the AI agent. While it may appear read-only (analytics/reporting), ShopifyQL execution can access and retrieve sensitive business data at scale, and in some contexts query execution itself can have side effects or resource implications.
From the tool's definition Tool description states 'Execute a ShopifyQL query' — the verb 'Execute' combined with the capability to run arbitrary ShopifyQL queries indicates this tool runs user-supplied code/queries against the Shopify backend.
Attacks that exploit this kind of access
The rule that runs run_shopifyql_query safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Shopify Graphql, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_shopifyql_query, this is the rule to start with:
run_shopifyql_query stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Shopify Graphql, apply this rule, and every run_shopifyql_query call is checked against it from then on.
Questions about run_shopifyql_query
Execute a ShopifyQL query for custom analytics and reporting. It is categorised as a Execute tool in the Shopify Graphql MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Shopify Graphql MCP server in PolicyLayer and add a rule for run_shopifyql_query: 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 Graphql. Nothing to install.
run_shopifyql_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_shopifyql_query 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 run_shopifyql_query. 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.
run_shopifyql_query is provided by the Shopify Graphql MCP server (uvu-store/shopify-graphql-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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