List Dataverse tables (entities) with optional prefix and solution filters
AI agents call list_entities to retrieve information from Dataverse without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries information about entities in Dataverse without creating, modifying, or deleting data. It has no side effects beyond returning metadata. Optional filters (prefix and solution) are query parameters that constrain the read operation. The blast radius of misuse is minimal—an agent could enumerate entities but cannot alter or damage data.
From the tool's definition Tool name is 'list_entities' and description states 'List Dataverse tables (entities)' — a retrieval operation with no modification.
Documented attack patterns abuse exactly the kind of access list_entities gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Dataverse, and nothing reaches the server without passing your rules. This is the rule we recommend for list_entities:
{
"version": "1",
"default": "deny",
"tools": {
"list_entities": {}
}
} list_entities is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List Dataverse tables (entities) with optional prefix and solution filters. It is categorised as a Read tool in the Dataverse MCP Server, which means it retrieves data without modifying state.
Register the Dataverse MCP server in PolicyLayer and add a rule for list_entities: 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. Nothing to install.
list_entities 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_entities 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_entities. 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_entities is provided by the Dataverse MCP server (rededis/dataverse-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Dataverse, 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.
22 Dataverse tools catalogued and risk-classified — across an index of 43,000+ MCP servers.