This record as markdown: /tools/sagemcp-sagemcp/gitlab-update-issue.md
What gitlab_update_issue does on Sage MCP
AI agents use gitlab_update_issue to create or update resources in Sage MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Sage MCP environment.
Why gitlab_update_issue is rated Medium
This tool modifies existing issue records (title, description, labels, assignees, etc.) but does not delete data or trigger external operations. The modification is reversible—issues can be updated again or reverted. This qualifies as Write category.
From the tool's definition Tool name 'gitlab_update_issue' and description 'Update an existing issue' indicate modification of existing data in GitLab.
Attacks that exploit this kind of access
The rule that runs gitlab_update_issue safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Sage MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gitlab_update_issue, this is the rule to start with:
gitlab_update_issue stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Sage MCP, apply this rule, and every gitlab_update_issue call is checked against it from then on.
Questions about gitlab_update_issue
Update an existing issue. It is categorised as a Write tool in the Sage MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Sage MCP server in PolicyLayer and add a rule for gitlab_update_issue: 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 Sage MCP. Nothing to install.
gitlab_update_issue 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 gitlab_update_issue 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 gitlab_update_issue. 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.
gitlab_update_issue is provided by the Sage MCP server (sagemcp/sagemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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