Retrieves a list of tables in the Dataverse environment with filtering options. Use this to discover available tables, find custom tables, or get an overview of the data model. Supports filtering by custom/system tables and managed/unmanaged status.
AI agents call list_dataverse_tables 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 retrieves metadata about available tables in Dataverse without modifying, deleting, or executing any operations. It is purely informational and has no side effects on data or system state. The low severity reflects minimal risk even if an AI agent misuses it—at worst, it gathers information about the data model structure.
From the tool's definition Tool name 'list_dataverse_tables' and description states it 'Retrieves a list of tables' with 'filtering options' to 'discover available tables' and 'get an overview of the data model'. No modification, deletion, or execution of code is performed.
Documented attack patterns abuse exactly the kind of access list_dataverse_tables 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 list_dataverse_tables:
{
"version": "1",
"default": "deny",
"tools": {
"list_dataverse_tables": {}
}
} list_dataverse_tables is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieves a list of tables in the Dataverse environment with filtering options. Use this to discover available tables, find custom tables, or get an overview of the data model. Supports filtering by custom/system tables 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_tables: 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_tables 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_tables 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_tables. 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_tables 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.
Free to start. No card required.
71 Dataverse MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.