zephyr_get_test_executions_linked_to_a_jira_issue
Get test executions linked to a Jira issue in Zephyr Parameters: - issueKey (string) *required*: The key of the Jira issue Examples: 1. Check which test executions are linked to Jira issue PROJ-123 json { "issueKey": "PROJ-123" } Expected Output: The List of test executions linked to Jira issue P...
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What zephyr_get_test_executions_linked_to_a_jira_issue does on SmartBear MCP
AI agents call zephyr_get_test_executions_linked_to_a_jira_issue 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 |
|---|---|---|---|
issueKey | string | Yes | The key of the Jira issue |
Parameters from the server's own tool schema.
Why zephyr_get_test_executions_linked_to_a_jira_issue is rated Low
This tool retrieves and queries existing test execution data without side effects. It is a straightforward read operation that fetches linked test execution information from a Jira issue. No data is created, modified, deleted, or executed.
From the tool's definition Tool name contains 'get' and description states 'Get test executions linked to a Jira issue'. Parameters show only a read operation with issueKey input.
Attacks that exploit this kind of access
The rule that runs zephyr_get_test_executions_linked_to_a_jira_issue 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 zephyr_get_test_executions_linked_to_a_jira_issue, this is the rule to start with:
zephyr_get_test_executions_linked_to_a_jira_issue 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 zephyr_get_test_executions_linked_to_a_jira_issue call is checked against it from then on.
Questions about zephyr_get_test_executions_linked_to_a_jira_issue
Get test executions linked to a Jira issue in Zephyr Parameters: - issueKey (string) *required*: The key of the Jira issue Examples: 1. Check which test executions are linked to Jira issue PROJ-123 json { "issueKey": "PROJ-123" } Expected Output: The List of test executions linked to Jira issue PROJ-123 with their keys and versions. It is categorised as a Read tool in the SmartBear MCP MCP Server, which means it retrieves data without modifying state.
zephyr_get_test_executions_linked_to_a_jira_issue accepts 1 parameter: issueKey. Required: issueKey. 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 zephyr_get_test_executions_linked_to_a_jira_issue: 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.
zephyr_get_test_executions_linked_to_a_jira_issue 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 zephyr_get_test_executions_linked_to_a_jira_issue 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 zephyr_get_test_executions_linked_to_a_jira_issue. 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.
zephyr_get_test_executions_linked_to_a_jira_issue 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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