Fermer un milestone. Par defaut dry_run=true.
AI agents use close_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.
Closing a milestone modifies project metadata and can affect milestone visibility and workflow state, but does not permanently delete data or trigger external financial transactions. It is reversible through reopening or other corrective actions. The dry-run safety mechanism further supports Write rather than Destructive classification.
From the tool's definition Tool name 'close_milestone' combined with description 'Fermer un milestone' (Close a milestone) indicates a state-change operation on GitLab milestone objects. The mention of 'dry_run=true' as default indicates reversibility via rollback/undo capability.
Attacks that exploit this kind of access
Fermer un milestone. Par defaut dry_run=true. 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 close_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.
close_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 close_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 close_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.
close_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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