AI agents call list_boards to retrieve information from Vaiz MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and filters existing boards without creating, modifying, deleting, executing code, or affecting financial state. It is a straightforward data query operation, making it a Read category tool with low severity.
From the tool's definition Tool name is 'list_boards' and description states 'List all accessible boards' — a retrieval operation with no modification or deletion.
Attacks that exploit this kind of access
List all accessible boards in the current space, optionally filtered by project. Examples: - All boards: list_boards() - Boards in project: list_boards(projectId:. It is categorised as a Read tool in the Vaiz MCP MCP Server, which means it retrieves data without modifying state.
Register the Vaiz MCP server in PolicyLayer and add a rule for list_boards: 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 Vaiz MCP. Nothing to install.
list_boards 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_boards 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_boards. 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_boards is provided by the Vaiz MCP server (vaizcom/vaiz-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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