qmetry_update_cycle
Update an existing cycle in QMetry for test execution planning 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") - cy...
This record as markdown: /tools/smartbear-mcp/qmetry-update-cycle.md
What qmetry_update_cycle does on SmartBear MCP
AI agents use qmetry_update_cycle to create or update resources in SmartBear MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your SmartBear MCP environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
cycle | object | Yes | |
baseUrl | string | — | The base URL for the QMetry instance (must be a valid URL) |
projectKey | string | — | Project key - unique identifier for the project |
Parameters from the server's own tool schema.
Why qmetry_update_cycle is rated Medium
This tool modifies test execution planning cycles by updating names, dates, and timelines. These changes are reversible and do not delete data or execute arbitrary code. The blast radius is medium because misconfiguration could disrupt test schedules and coordination, but the operations themselves are standard data modifications without destructive or code-execution implications.
From the tool's definition Tool name 'qmetry_update_cycle' and description 'Update an existing cycle in QMetry' indicates modification of existing data. The output confirms 'updated cycle details and confirmation of update'.
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs qmetry_update_cycle 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_update_cycle, this is the rule to start with:
qmetry_update_cycle stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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_update_cycle call is checked against it from then on.
Questions about qmetry_update_cycle
Update an existing cycle in QMetry for test execution planning 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") - cycle (object) *required* Output Description: JSON object containing the updated cycle details and confirmation of update Use Cases: 1. Update cycle name for better organization 2. Modify cycle dates to reflect schedule changes 3. Adjust testing phase timelines within a release 4. Update cycle metadata for sprint tracking 5. Revise milestone dates for test execution planning 6. Rename cycles to match updated sprint naming conventions Examples: 1. Update cycle name json { "cycle": { "name": "Alpha_v1_Updated", "buildID": 1494, "releaseID": 3729 } } Expected Output: Cycle updated successfully with new name 'Alpha_v1_Updated' 2. Update cycle dates json { "cycle": { "startDate": "10-10-2018", "targetDate": "11-11-2018", "buildID": 1494, "releaseID": 3729 } } Expected Output: Cycle dates updated successfully with new start date 10-10-2018 and target date 11-11-2018 3. Update cycle name and dates together json { "cycle": { "name": "Sprint 2 - Updated", "startDate": "15-01-2024", "targetDate": "31-01-2024", "buildID": 1494, "releaseID": 3729 } } Expected Output: Cycle updated with new name and dates successfully Hints: 1. CRITICAL: cycle.buildID is REQUIRED - must provide the build ID to identify the cycle to update 2. CRITICAL: cycle.releaseID is REQUIRED - must provide the release ID to identify the cycle to update 3. HOW TO GET buildID and releaseID: 4. 1. Call FETCH_RELEASES_CYCLES tool (API: 'Cycle/List') to get all cycles 5. 2. From the response, get buildID from projects.releases[<index>].builds[<index>].buildID 6. 3. From the response, get releaseID from projects.releases[<index>].releaseID 7. 4. Use those numeric IDs in cycle.buildID and cycle.releaseID parameters 8. Example: Cycle 'Sprint 2' might have buildID: 1494 and releaseID: 3729 9. CRITICAL WORKFLOW - IF USER PROVIDES CYCLE NAME: 10. 1. User says: 'Update cycle Sprint 2 to change dates' 11. 2. You MUST first call FETCH_RELEASES_CYCLES tool to get all cycles 12. 3. Search the response for cycle with matching name 'Sprint 2' 13. 4. Extract buildID and releaseID from the matching cycle 14. 5. Use those IDs in cycle.buildID and cycle.releaseID parameters 15. 6. If cycle name not found, inform user and list available cycles 16. Example workflow: 17. - User request: 'Update cycle Alpha_v1 name to Alpha_v1_Updated' 18. - Step 1: Call FETCH_RELEASES_CYCLES 19. - Step 2: Find cycle where name = 'Alpha_v1', get its buildID (e.g., 1494) and releaseID (e.g., 3729) 20. - Step 3: Call UPDATE_CYCLE with cycle.buildID = 1494 and cycle.releaseID = 3729 21. CYCLE IDENTIFICATION: 22. - NEVER assume or guess buildID or releaseID - always fetch from API 23. - Cycle names are user-defined strings (e.g., 'Sprint 2', 'Alpha_v1', 'Regression Cycle') 24. - buildID and releaseID are numeric identifiers assigned by QMetry 25. - Match cycle names case-insensitively when searching 26. - If multiple cycles match the name, ask user to clarify or use the most recent one 27. - FETCH_RELEASES_CYCLES returns: projects.releases[].builds[] array with name, buildID, and releaseID 28. Date format depends on QMetry instance configuration: DD-MM-YYYY or MM-DD-YYYY 29. Check your QMetry instance settings to determine the correct date format 30. NOTE: To verify/update the Date Format - Go to QMetry -> User Profile 31. If dates are in wrong format, QMetry will return an error - verify format with admin 32. You can update name, startDate, or targetDate independently or together 33. Only include the fields you want to update - other fields will remain unchanged 34. startDate and targetDate help with sprint planning and milestone tracking 35. Cycle hierarchy: Project → Release → Cycle → Test Execution 36. After updating a cycle, you can verify changes using FETCH_RELEASES_CYCLES tool 37. DIFFERENCE FROM CREATE_CYCLE: This tool updates an EXISTING cycle, while CREATE_CYCLE creates a new one. It is categorised as a Write tool in the SmartBear MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
qmetry_update_cycle accepts 3 parameters: cycle, baseUrl, projectKey. Required: cycle. 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_update_cycle: 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_update_cycle is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the qmetry_update_cycle 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_update_cycle. 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_update_cycle 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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