Retrieves detailed information about a specific security role including its properties, business unit association, and configuration settings. Use this to inspect role definitions and understand permission structures.
AI agents call get_dataverse_role 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.
The tool queries and inspects security role metadata and properties without creating, modifying, or deleting any resources. It is a pure read operation that has no side effects on the system state.
From the tool's definition Tool description states 'Retrieves detailed information' and 'Use this to inspect role definitions' — these are read-only operations with no data modification.
Documented attack patterns abuse exactly the kind of access get_dataverse_role gives an agent:
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_dataverse_role:
{
"version": "1",
"default": "deny",
"tools": {
"get_dataverse_role": {}
}
}get_dataverse_role is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieves detailed information about a specific security role including its properties, business unit association, and configuration settings. Use this to inspect role definitions and understand permission structures. 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_dataverse_role: 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_dataverse_role 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_dataverse_role 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_dataverse_role. 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_dataverse_role 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.
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.