Adds users as members to a team, granting them access to team-owned records and team-based permissions. Use this to expand team membership and provide users with team-level access to resources.
AI agents use add_members_to_team 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 team membership associations, which is a reversible Write operation. While it affects security/permissions, it doesn't execute arbitrary code (Execute), delete data (Destructive), move money (Financial), or trigger external operations with argument-dependent side effects.
From the tool's definition Tool name 'add_members_to_team' and description 'Adds users as members to a team' indicates creation/modification of team membership data.
Documented attack patterns abuse exactly the kind of access add_members_to_team 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 add_members_to_team:
{
"version": "1",
"default": "deny",
"tools": {
"add_members_to_team": {
"limits": [
{
"counter": "add_members_to_team_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} add_members_to_team 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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Adds users as members to a team, granting them access to team-owned records and team-based permissions. Use this to expand team membership and provide users with team-level access to resources. 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 add_members_to_team: 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.
add_members_to_team 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 add_members_to_team 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 add_members_to_team. 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.
add_members_to_team 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.