Retrieves all options (choices) within a specific option set, including their values, labels, descriptions, and colors. Use this to inspect the available choices in an option set and understand their configuration.
AI agents call get_dataverse_optionset_options 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 metadata about option set configurations without performing any side effects. It retrieves and returns information about available choices, labels, descriptions, and colors in a read-only manner. No data is created, modified, deleted, or executed. This is a straightforward schema inspection operation with minimal security risk.
From the tool's definition Tool description states it 'Retrieves all options (choices) within a specific option set' and 'inspect the available choices' — purely read-only operations with no modification, deletion, or execution capability.
Documented attack patterns abuse exactly the kind of access get_dataverse_optionset_options 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_optionset_options:
{
"version": "1",
"default": "deny",
"tools": {
"get_dataverse_optionset_options": {}
}
} get_dataverse_optionset_options is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieves all options (choices) within a specific option set, including their values, labels, descriptions, and colors. Use this to inspect the available choices in an option set and understand their configuration. 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_optionset_options: 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_optionset_options 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_optionset_options 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_optionset_options. 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_optionset_options 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.
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71 Dataverse MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.