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") - req...
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What qmetry_fetch_automation_status does on SmartBear MCP
AI agents call qmetry_fetch_automation_status to retrieve information from SmartBear MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
baseUrl | string | — | The base URL for the QMetry instance (must be a valid URL) |
requestID | number | Yes | Numeric request ID from import automation response |
projectKey | string | — | Project key - unique identifier for the project |
Parameters from the server's own tool schema.
Why qmetry_fetch_automation_status is rated Low
This tool retrieves status information about an existing automation import job. It performs a read-only query operation to check progress and details. No data is created, modified, deleted, or executed; the tool only queries and returns status information. This is a low-severity read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool description states it 'Fetches the status' and 'Retrieve status, progress, and details' — purely query/retrieval operations with no side effects.
Attacks that exploit this kind of access
The rule that runs qmetry_fetch_automation_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and SmartBear MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For qmetry_fetch_automation_status, this is the rule to start with:
qmetry_fetch_automation_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect SmartBear MCP, apply this rule, and every qmetry_fetch_automation_status call is checked against it from then on.
Questions about 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") - 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.
qmetry_fetch_automation_status accepts 3 parameters: baseUrl, requestID, projectKey. Required: requestID. The full parameter table on this page comes from the server's own tool schema.
Register the SmartBear MCP server in PolicyLayer and add a rule for qmetry_fetch_automation_status: 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 SmartBear MCP. Nothing to install.
qmetry_fetch_automation_status 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 qmetry_fetch_automation_status 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 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.
qmetry_fetch_automation_status is provided by the SmartBear MCP server (SmartBear/smartbear-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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