Medium Risk

zephyr_update_test_execution_steps

Update test steps for a given Test Execution in Zephyr. This operation updates the provided steps with their execution status and actual results. Only the fields included in the request will be modified. **Examples:** 1. Mark the status of all steps in the test execution 'SA-E1' as 'Pass'. Set t...

Single-target operation

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

AI agents use zephyr_update_test_execution_steps 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_update_test_execution_steps 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_update_test_execution_steps:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full SmartBear MCP policy for all 243 tools.

Tool Name zephyr_update_test_execution_steps
Category Write
Risk Level Medium

View all 243 tools →

Agents calling write-class tools like zephyr_update_test_execution_steps 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_update_test_execution_steps tool do? +

Update test steps for a given Test Execution in Zephyr. This operation updates the provided steps with their execution status and actual results. Only the fields included in the request will be modified. **Examples:** 1. Mark the status of all steps in the test execution 'SA-E1' as 'Pass'. Set the actual result of step 1 to 'Dashboard widgets loaded correctly' and step 2 to 'Navigation menu responded correctly to user interactions'. ```json { "testExecutionIdOrKey": "SA-E1", "steps": [ { "statusName": "Pass", "actualResult": "Dashboard widgets loaded correctly" }, { "statusName": "Pass", "actualResult": "Navigation menu responded correctly to user interactions" } ] } ``` Expected Output: Test steps are updated successfully, but no output is expected. 2. Update only the status of step 2 in test execution 'SA-E5' to 'Fail'. Do not modify any other fields. ```json { "testExecutionIdOrKey": "SA-E5", "steps": [ {}, { "statusName": "Fail" } ] } ``` Expected Output: The test execution steps are updated, but no output is expected. 3. Update only the actual results of the steps in test execution '10'. Set the actual result of step 1 to 'API returned 500 error' and step 2 actual result to 'API returned 200 success' ```json { "testExecutionIdOrKey": "10", "steps": [ { "actualResult": "API returned 500 error" }, { "actualResult": "API returned 200 success" } ] } ``` Expected Output: Test steps are updated successfully, but no output is expected.. 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_update_test_execution_steps? +

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

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

Can I rate-limit zephyr_update_test_execution_steps? +

Yes. Add a rate_limit block to the zephyr_update_test_execution_steps 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_update_test_execution_steps completely? +

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

zephyr_update_test_execution_steps 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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