AI agents use update_version to create or update resources in Redmine — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Redmine environment.
This tool modifies existing version objects reversibly (a version update can be undone by a subsequent update or restoration). It does not delete data (not Destructive), does not execute arbitrary code (not Execute), does not move money (not Financial), and does not merely read (not Read).
From the tool's definition Tool name 'update_version' and description 'Update a version' indicate modification of existing data. In Redmine, versions are release/milestone metadata that track project progress.
Attacks that exploit this kind of access
Update a version. It is categorised as a Write tool in the Redmine MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Redmine MCP server in PolicyLayer and add a rule for update_version: 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 Redmine. Nothing to install.
update_version 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_version 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_version. 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_version is provided by the Redmine MCP server (KalvadTech/redmine-mcp). 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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