Retrieves all privileges currently assigned to a security role, showing what permissions the role grants. Use this to audit role permissions and understand what access a role provides to users and teams.
AI agents call get_role_privileges to retrieve information from Dataverse MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about security role permissions without modifying, creating, deleting, or executing any operations. It is a read-only audit/inspection capability. While the information retrieved relates to access control (which could theoretically inform malicious activity), the tool itself performs no mutations and has no direct blast radius beyond information disclosure.
From the tool's definition Tool name 'get_role_privileges' and description 'Retrieves all privileges currently assigned to a security role' — the verb 'Retrieves' and stated purpose to 'audit role permissions' indicate pure data retrieval with no modifications or side effects.
Attacks that exploit this kind of access
Retrieves all privileges currently assigned to a security role, showing what permissions the role grants. Use this to audit role permissions and understand what access a role provides to users and teams. It is categorised as a Read tool in the Dataverse MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for get_role_privileges: 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 Dataverse MCP Server. Nothing to install.
get_role_privileges 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 get_role_privileges 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 get_role_privileges. 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.
get_role_privileges is provided by the Dataverse MCP Server MCP server (wizspdemo/dataverse-mcp2). 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.
Teams ship this data inside their own products. See what a licence covers →