Adds specific privileges with defined access levels to a security role. Use this to grant permissions for specific operations (create, read, write, delete, etc.) on entities or system functions. Each privilege can have different access levels (Basic, Local, Deep, Global).
AI agents use add_privileges_to_role to create or update resources in Dataverse MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dataverse MCP Server environment.
This tool modifies security role definitions by adding privileges, which is a write operation affecting access control configuration. While the impact is significant (granting permissions affects who can do what in the system), the operation is reversible—privileges can be removed or roles can be reconfigured.
From the tool's definition Tool description states it 'Adds specific privileges...to a security role' and 'grant permissions for specific operations'.
Documented attack patterns abuse exactly the kind of access add_privileges_to_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 add_privileges_to_role:
{
"version": "1",
"default": "deny",
"tools": {
"add_privileges_to_role": {
"limits": [
{
"counter": "add_privileges_to_role_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}add_privileges_to_role stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Adds specific privileges with defined access levels to a security role. Use this to grant permissions for specific operations (create, read, write, delete, etc.) on entities or system functions. Each privilege can have different access levels (Basic, Local, Deep, Global). It is categorised as a Write tool in the Dataverse MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for add_privileges_to_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.
add_privileges_to_role is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add_privileges_to_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 add_privileges_to_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.
add_privileges_to_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.