Update a project-level milestone. dry_run=true by default.
AI agents use update_project_milestone to create or update resources in Mcp Gitlab — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Gitlab environment.
This tool modifies existing milestone data (name, description, due date, etc.) within GitLab but does not delete or destroy data. The modification is reversible (can be updated again) and the dry_run default provides safety. It qualifies as Write rather than Execute because it directly manipulates a resource, not arbitrary code/operations.
From the tool's definition Tool description states it 'Update[s] a project-level milestone' with 'dry_run=true by default', indicating reversible modification of milestone metadata.
Attacks that exploit this kind of access
Update a project-level milestone. dry_run=true by default. It is categorised as a Write tool in the Mcp Gitlab MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Gitlab MCP server in PolicyLayer and add a rule for update_project_milestone: 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 Mcp Gitlab. Nothing to install.
update_project_milestone 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_project_milestone 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_project_milestone. 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_project_milestone is provided by the Mcp Gitlab MCP server (wanadev/gitlab-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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