AI agents use update_test to create or update resources in Mxray — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mxray environment.
This tool modifies existing test records in Jira reversibly without deleting data or executing arbitrary operations. It is a Write operation with medium severity because unintended modifications to test definitions could disrupt testing workflows and project integrity, though changes are typically reversible via additional updates or version history.
From the tool's definition Tool name 'update_test' and description 'Update fields of an existing test in Jira' directly indicate modification of existing data.
Attacks that exploit this kind of access
Update fields of an existing test in Jira. It is categorised as a Write tool in the Mxray MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mxray MCP server in PolicyLayer and add a rule for update_test: 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 Mxray. Nothing to install.
update_test 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_test 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_test. 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_test is provided by the Mxray MCP server (mxray-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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