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 only reads and returns configuration data about option set choices in Dataverse. It performs no create, update, delete, or execution operations. The blast radius of misuse is minimal — an agent could only retrieve metadata about available options, not modify system state or access sensitive data beyond schema inspection. Classified as Read with low severity.
From the tool's definition Tool name contains 'get_' and description states it 'Retrieves all options' and is used to 'inspect the available choices' — purely a query operation with no side effects or data modification.
Attacks that exploit this kind of access
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 (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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