Creates a relationship between two Dataverse tables. Supports One-to-Many relationships (parent-child with lookup field) and Many-to-Many relationships (junction table). Use this to establish data connections between tables, enable navigation, and maintain referential integrity.
AI agents use create_dataverse_relationship to create or update resources in Dataverse MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dataverse MCP Server environment.
This tool creates new relationship metadata between tables, which is a reversible write operation. While it modifies the database schema and could impact data integrity constraints if misconfigured, it does not execute arbitrary code, delete data, or commit financial transactions. The operation is reversible (relationships can be deleted), placing it in the Write category rather than Execute or Destructive.
From the tool's definition Tool name 'create_dataverse_relationship' and description explicitly states it 'Creates a relationship between two Dataverse tables' with support for One-to-Many and Many-to-Many relationships. The verb 'Creates' indicates data modification.
Documented attack patterns abuse exactly the kind of access create_dataverse_relationship 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 create_dataverse_relationship:
{
"version": "1",
"default": "deny",
"tools": {
"create_dataverse_relationship": {
"limits": [
{
"counter": "create_dataverse_relationship_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} create_dataverse_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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Creates a relationship between two Dataverse tables. Supports One-to-Many relationships (parent-child with lookup field) and Many-to-Many relationships (junction table). Use this to establish data connections between tables, enable navigation, and maintain referential integrity. It is categorised as a Write tool in the Dataverse MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for create_dataverse_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 MCP Server. Nothing to install.
create_dataverse_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_dataverse_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_dataverse_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_dataverse_relationship 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.
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71 Dataverse MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.