Updates the properties and configuration of an existing security role. Use this to modify role settings like name, description, auto-assignment behavior, or inheritance settings without changing the actual privileges.
AI agents use update_dataverse_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 metadata (name, description, auto-assignment, inheritance), which are reversible Write operations. However, the severity is elevated to high because security role configuration directly affects access control and authorization across the Dataverse environment.
From the tool's definition Updates the properties and configuration of an existing security role...modify role settings like name, description, auto-assignment behavior, or inheritance settings
Attacks that exploit this kind of access
Updates the properties and configuration of an existing security role. Use this to modify role settings like name, description, auto-assignment behavior, or inheritance settings without changing the actual privileges. 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 update_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.
update_dataverse_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 update_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 update_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.
update_dataverse_role 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.
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