Medium Risk

zephyr_create_test_case

Create a new Test Case in Zephyr specified project **Parameters:** - projectKey (string) *required*: Jira project key. - name (string) *required* - objective (string): A description of the objective. - precondition (string): Any conditions that need to be met. - estimatedTime (number): Estimated...

High parameter count (12 properties)

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

AI agents use zephyr_create_test_case to create or modify resources in SmartBear MCP. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call zephyr_create_test_case repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach SmartBear MCP.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

smartbear-mcp.yaml
tools:
  zephyr_create_test_case:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full SmartBear MCP policy for all 243 tools.

Tool Name zephyr_create_test_case
Category Write
Risk Level Medium

View all 243 tools →

Agents calling write-class tools like zephyr_create_test_case have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the zephyr_create_test_case tool do? +

Create a new Test Case in Zephyr specified project **Parameters:** - projectKey (string) *required*: Jira project key. - name (string) *required* - objective (string): A description of the objective. - precondition (string): Any conditions that need to be met. - estimatedTime (number): Estimated duration in milliseconds. - componentId (number): ID of a component from Jira. - priorityName (string): The priority name. - statusName (string): The status name. - folderId (number): ID of a folder to place the entity within. - ownerId (string): Atlassian Account ID of the Jira user. - labels (array): Array of labels associated to this entity. - customFields (record<string, any>): Multi-line text fields support HTML and should denote new lines with the \<br\> tag. Dates should be in the format 'yyyy-MM-dd'. Users should have values of Jira User Account IDs. **Examples:** 1. Create a Test Case in project SA to ensure that the axial pump can be enabled ```json { "projectKey": "SA", "name": "Check axial pump", "objective": "Ensure the axial pump can be enabled" } ``` Expected Output: The newly created Test Case with its details and key 2. Create a Test Case to ensure that the axial pump can be enabled. The test should be in project MM2, have labels 'automated' and 'mcp', and priority 'High' ```json { "projectKey": "MM2", "name": "Check axial pump", "objective": "Ensure the axial pump can be enabled", "labels": [ "automated", "mcp" ], "priorityName": "High" } ``` Expected Output: The newly created Test Case with its details and key 3. Create a Test Case for verifying strength of the axial pump with custom field 'Axial pump strength' having value '5' in project SA ```json { "projectKey": "SA", "name": "Check axial pump strength", "objective": "Make sure the axial pump operates at the required strength", "customFields": { "Axial pump strength": 5 } } ``` Expected Output: The newly created Test Case with its details and key 4. Create a Test Case in project MM2 to verify the performance of the axial pump with Jira component having ID 10001, Jira owner having ID 10057 in folder 'Pumps' ```json { "projectKey": "MM2", "name": "Check axial pump performance", "objective": "Ensure the axial pump performs within acceptable limits", "componentId": 10001, "ownerJiraUserId": 10057, "folderId": 18 } ``` Expected Output: The newly created Test Case with its details and key. 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.

How do I enforce a policy on zephyr_create_test_case? +

Add a rule in your Intercept YAML policy under the tools section for zephyr_create_test_case. 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 zephyr_create_test_case? +

zephyr_create_test_case is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit zephyr_create_test_case? +

Yes. Add a rate_limit block to the zephyr_create_test_case 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 zephyr_create_test_case completely? +

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

zephyr_create_test_case 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.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

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