List workspaces the user is a member of. Returns workspace id, name, slug, and role.
AI agents call list_workspaces to retrieve information from Makeslates without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a data retrieval operation only. It queries and returns existing workspace information without creating, modifying, deleting, or executing any actions. The blast radius of misuse is minimal—an attacker gains knowledge of workspace structure and the user's roles, but cannot alter state or trigger external effects. This is a classic Read operation.
From the tool's definition list_workspaces retrieves workspace information (id, name, slug, role) with no modification or side effects. The verb 'list' and the read-only nature of returning workspace metadata confirm this is a query operation.
Attacks that exploit this kind of access
List workspaces the user is a member of. Returns workspace id, name, slug, and role. It is categorised as a Read tool in the Makeslates MCP Server, which means it retrieves data without modifying state.
Register the Makeslates MCP server in PolicyLayer and add a rule for list_workspaces: 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 Makeslates. Nothing to install.
list_workspaces 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_workspaces 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_workspaces. 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_workspaces is provided by the Makeslates MCP server (makeslates-mcp-server). 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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