AI agents call space_info 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 queries and retrieves metadata about the current workspace (space) and associated user permissions. It performs no mutations, executions, or destructive operations. It is a read-only information retrieval operation, similar to 'get_document' and 'get_board' among the sibling tools.
From the tool's definition Tool name 'space_info' and description 'Get detailed information about current space and user permissions' indicates retrieval of information without modification or execution.
Attacks that exploit this kind of access
Get detailed information about current space and user permissions. 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 space_info: 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.
space_info 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 space_info 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 space_info. 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.
space_info 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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