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 performs a read-only operation that retrieves and filters table metadata from the Dataverse environment. It supports discovery and overview purposes with no side effects—no data is created, modified, deleted, or executed. The filtering options (custom/system, managed/unmanaged status) are purely informational filters on the retrieval.
From the tool's definition Tool name 'list_dataverse_tables' and description 'Retrieves a list of tables in the Dataverse environment' indicate a query operation that discovers and lists metadata without modification.
Attacks that exploit this kind of access
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 (wizspdemo/dataverse-mcp2). 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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