Get attributes (columns) of a specific Dataverse table
AI agents call get_entity_schema 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 schema metadata (attributes/columns) from a Dataverse table. It performs a query operation with no capability to modify, delete, or execute operations. The blast radius of misuse is minimal—an attacker could only learn the structure of tables, not access sensitive data values or perform destructive actions.
From the tool's definition Tool name 'get_entity_schema' and description 'Get attributes (columns) of a specific Dataverse table' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_entity_schema 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 get_entity_schema:
{
"version": "1",
"default": "deny",
"tools": {
"get_entity_schema": {}
}
} get_entity_schema is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get attributes (columns) of a specific Dataverse table. 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 get_entity_schema: 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.
get_entity_schema 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_entity_schema 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_entity_schema. 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_entity_schema 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.
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22 Dataverse tools catalogued and risk-classified — across an index of 43,000+ MCP servers.