Low Risk

get_role_privileges

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.

How to control get_role_privileges ↓

What get_role_privileges does on Dataverse MCP Server

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.

Low Risk

Why get_role_privileges needs a policy

get_role_privileges performs an informational query of existing security role data without creating, modifying, or deleting any configuration. The audit use case and the passive retrieval semantics confirm this is a Read operation with low severity risk.

From the tool's definition Tool retrieves privileges assigned to a security role with no modification capability—described as 'Retrieves all privileges' and used 'to audit role permissions and understand what access a role provides.' This is a read/query operation.

Documented attack patterns abuse exactly the kind of access get_role_privileges gives an agent:

How to control get_role_privileges

PolicyLayer is an MCP gateway — it sits between your AI agents and Dataverse MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_role_privileges:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_role_privileges": {}
  }
}

get_role_privileges is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Dataverse MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get_role_privileges

What does the get_role_privileges tool do? +

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.

How do I enforce a policy on get_role_privileges? +

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.

What risk level is get_role_privileges? +

get_role_privileges is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_role_privileges? +

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.

How do I block get_role_privileges completely? +

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.

What MCP server provides get_role_privileges? +

get_role_privileges is provided by the Dataverse MCP Server MCP server (mwhesse/dataverse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Dataverse MCP Server tool call.

Start from Dataverse MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

71 Dataverse MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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