Lister les commentaires d
AI agents call list_epic_notes to retrieve information from Mcp Gitlab without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing data (epic notes/comments) without creating, modifying, or deleting anything. It has no side effects beyond returning information. It fits the 'Read' category definition: retrieves or queries data with no side effects.
From the tool's definition Tool name 'list_epic_notes' and description 'Lister les commentaires d' (List comments) indicates retrieval of existing epic notes/comments with no modification capability.
Attacks that exploit this kind of access
Lister les commentaires d. It is categorised as a Read tool in the Mcp Gitlab MCP Server, which means it retrieves data without modifying state.
Register the Mcp Gitlab MCP server in PolicyLayer and add a rule for list_epic_notes: 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.
list_epic_notes is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_epic_notes 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 list_epic_notes. 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.
list_epic_notes 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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