AI agents use update_release 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_release 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
Modify an existing release. Send only the fields you want to change inside the. 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_release: 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_release 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_release 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_release. 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_release 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.