AI agents use update_manual_test_case to create or update resources in Testdino — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Testdino environment.
An AI agent can call update_manual_test_case faster than any human can review — one bad instruction and it creates or modifies resources in Testdino by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Update an existing manual test case. Use this to modify test case details, steps, status, priority, or any other fields. Provide only the fields you want to update in the updates object. It is categorised as a Write tool in the Testdino MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Testdino MCP server in PolicyLayer and add a rule for update_manual_test_case: 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 Testdino. Nothing to install.
update_manual_test_case 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 update_manual_test_case 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 update_manual_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.
update_manual_test_case is provided by the Testdino MCP server (testdino-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.