AI agents call list_labels to retrieve information from Vikunja without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and queries existing labels from the Vikunja task management system. It does not create, modify, delete, or execute any actions. This is a straightforward read operation with minimal risk; disclosure of label names and metadata poses negligible security impact compared to write or destructive operations.
From the tool's definition Tool name is 'list_labels' and description states 'List all labels' — this is a retrieval operation with no side effects.
Attacks that exploit this kind of access
List all labels. It is categorised as a Read tool in the Vikunja MCP Server, which means it retrieves data without modifying state.
Register the Vikunja MCP server in PolicyLayer and add a rule for list_labels: 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 Vikunja. Nothing to install.
list_labels 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_labels 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_labels. 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_labels is provided by the Vikunja MCP server (ugoi/vikunja-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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