Retrieve details about the workspaces in a specific workspace group
AI agents call workspaces_info to retrieve information from SingleStore MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves metadata about workspaces without creating, modifying, deleting, or executing any operations. It is a pure read operation that queries existing workspace information, fitting the 'Read' category for data retrieval with no side effects.
From the tool's definition Tool name 'workspaces_info' and description 'Retrieve details about the workspaces in a specific workspace group' indicate a retrieval operation with no modification, deletion, or execution of external operations.
Documented attack patterns abuse exactly the kind of access workspaces_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SingleStore MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for workspaces_info:
{
"version": "1",
"default": "deny",
"tools": {
"workspaces_info": {}
}
} workspaces_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve details about the workspaces in a specific workspace group. It is categorised as a Read tool in the SingleStore MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SingleStore MCP Server MCP server in PolicyLayer and add a rule for workspaces_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 SingleStore MCP Server. Nothing to install.
workspaces_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 workspaces_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 workspaces_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.
workspaces_info is provided by the SingleStore MCP Server MCP server (singlestore-labs/mcp-server-singlestore). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 24 SingleStore MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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24 SingleStore MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.