AI agents use update_run to create or update resources in Testrail — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Testrail environment.
This tool modifies metadata of an existing test run in TestRail (a test management system) in a reversible manner—typical patch/update operations. It does not delete data (which would be Destructive), execute arbitrary code (Execute), move money (Financial), or merely read data (Read).
From the tool's definition Tool name 'update_run' and description 'Patch an existing test run's metadata' indicate modification of existing data.
Attacks that exploit this kind of access
Patch an existing test run's metadata. Pass only fields you want to change. It is categorised as a Write tool in the Testrail MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Testrail MCP server in PolicyLayer and add a rule for update_run: 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 Testrail. Nothing to install.
update_run 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_run 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_run. 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_run is provided by the Testrail MCP server (sergey-bl/testrail-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
update_run is one line of Testrail's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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