Create a relationship between two Dataverse tables
AI agents use create_relationship to create or update resources in Dataverse — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dataverse environment.
This tool modifies the data model by creating a relationship between tables, which is a Write operation—it creates new configuration/schema elements that can be undone. It does not delete data (Destructive), execute arbitrary code (Execute), move money (Financial), or merely read data (Read).
From the tool's definition Tool name 'create_relationship' and description 'Create a relationship between two Dataverse tables' indicate data modification that establishes a link between entities.
Documented attack patterns abuse exactly the kind of access create_relationship 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 create_relationship:
{
"version": "1",
"default": "deny",
"tools": {
"create_relationship": {
"limits": [
{
"counter": "create_relationship_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} create_relationship stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Create a relationship between two Dataverse tables. It is categorised as a Write tool in the Dataverse MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Dataverse MCP server in PolicyLayer and add a rule for create_relationship: 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.
create_relationship is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_relationship 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 create_relationship. 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.
create_relationship 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.