Retrieves a list of option sets in the Dataverse environment with filtering options. Use this to discover available choice lists, find custom option sets, or get an overview of reusable options. Supports filtering by custom/system and managed/unmanaged status.
AI agents call list_dataverse_optionsets 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 lists existing Dataverse option sets metadata. It performs a retrieval operation with no capability to create, modify, delete, or execute code. The filtering parameters are for refining the read query only.
From the tool's definition Tool description states it 'Retrieves a list of option sets' and 'to discover available choice lists' with 'filtering options'.
Attacks that exploit this kind of access
Retrieves a list of option sets in the Dataverse environment with filtering options. Use this to discover available choice lists, find custom option sets, or get an overview of reusable options. Supports filtering by custom/system and managed/unmanaged status. 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 list_dataverse_optionsets: 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.
list_dataverse_optionsets 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 list_dataverse_optionsets 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 list_dataverse_optionsets. 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.
list_dataverse_optionsets 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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