run_report

Run a report and get its results

SERVERShopify Graphql SOURCEuvu-store/shopify-graphql-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/uvu-store-shopify-graphql-mcp/run-report.md

WHAT IT DOES

What run_report does on Shopify Graphql

AI agents invoke run_report 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.

RISK

Why run_report is rated High

Running a report executes an operation against the Shopify Admin API to generate and retrieve results. While it is primarily a read-like operation (fetching report data), it involves triggering an external execution process rather than a simple passive query. Severity is medium because misuse could expose sensitive store analytics or business data, though it doesn't modify or destroy data.

From the tool's definition 'Run a report and get its results' - triggers execution of a report operation

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs run_report 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_report, this is the rule to start with:

run_report Rate-limited

run_report 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_report": {
      "limits": [
        {
          "counter": "run_report_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Shopify Graphql, apply this rule, and every run_report call is checked against it from then on.

FAQ

Questions about run_report

What does the run_report tool do? +

Run a report and get its results. 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.

How do I enforce a policy on run_report? +

Register the Shopify Graphql MCP server in PolicyLayer and add a rule for run_report: 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.

What risk level is run_report? +

run_report is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_report? +

Yes. Add a rate_limit block to the run_report 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.

How do I block run_report completely? +

Set action: deny in the PolicyLayer policy for run_report. 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.

What MCP server provides run_report? +

run_report 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.

KEEP EXPLORING

More on Shopify Graphql, and thousands of servers like it.

This server

All 319 Shopify Graphql tools → High-risk tools on this server →

Across the catalogue

run on 0sec →shortcuts_run on Apple Apps MCP →run_emba_scan on EMBA-MCP → All high-risk MCP tools → The MCP Attack Database →

Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →