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.
This tool queries and returns information about security roles without creating, modifying, deleting, or executing any actions. It is a passive retrieval operation that gathers metadata about role configuration. While the data retrieved relates to security roles (which could inform privilege escalation attacks), the tool itself performs no mutations or executions.
From the tool's definition Tool name is 'get_dataverse_role' and description states it 'Retrieves detailed information about a specific security role' with emphasis on inspection of 'role definitions and understand permission structures.' The verb 'retrieves' and 'inspect' indicate…
Attacks that exploit this kind of access
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 (wizspdemo/dataverse-mcp3). 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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