Low Risk

qmetry_fetch_automation_status

Fetches the status of an automation import job by request ID. **Parameters:** - projectKey (string): Project key - unique identifier for the project (default: "default") - baseUrl (string): The base URL for the QMetry instance (must be a valid URL) (default: "https://testmanagement.qmetry.com") ...

Single-target operation

Part of the SmartBear MCP MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call qmetry_fetch_automation_status to retrieve information from SmartBear MCP without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though qmetry_fetch_automation_status only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

smartbear-mcp.yaml
tools:
  qmetry_fetch_automation_status:
    rules:
      - action: allow

See the full SmartBear MCP policy for all 147 tools.

Tool Name qmetry_fetch_automation_status
Category Read
Risk Level Low

View all 147 tools →

What does the qmetry_fetch_automation_status tool do? +

Fetches the status of an automation import job by request ID. **Parameters:** - projectKey (string): Project key - unique identifier for the project (default: "default") - baseUrl (string): The base URL for the QMetry instance (must be a valid URL) (default: "https://testmanagement.qmetry.com") - requestID (number) *required*: Numeric request ID from import automation response **Use Cases:** 1. 1. Check if an automation import job is completed or still in progress. 2. 2. Retrieve status, progress, and details for a specific automation import request. 3. 3. Monitor automation result processing for CI/CD integrations. **Examples:** 1. Fetch status for request ID 12345 ```json { "requestID": 12345 } ``` Expected Output: Status, progress, and details of the automation import job for request ID 12345.. It is categorised as a Read tool in the SmartBear MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on qmetry_fetch_automation_status? +

Add a rule in your Intercept YAML policy under the tools section for qmetry_fetch_automation_status. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the SmartBear MCP MCP server.

What risk level is qmetry_fetch_automation_status? +

qmetry_fetch_automation_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit qmetry_fetch_automation_status? +

Yes. Add a rate_limit block to the qmetry_fetch_automation_status rule in your Intercept 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 qmetry_fetch_automation_status completely? +

Set action: deny in the Intercept policy for qmetry_fetch_automation_status. 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 qmetry_fetch_automation_status? +

qmetry_fetch_automation_status is provided by the SmartBear MCP MCP server (@smartbear/mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on SmartBear MCP

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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