Low Risk

get_dataverse_publisher

Retrieves detailed information about a specific publisher including its customization prefix, option value prefix, and configuration. Use this to inspect publisher properties and understand customization settings.

How to control get_dataverse_publisher ↓

What get_dataverse_publisher does on Dataverse MCP Server

AI agents call get_dataverse_publisher to retrieve information from Dataverse MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_dataverse_publisher needs a policy

This tool retrieves metadata about a publisher configuration without creating, modifying, or deleting any resources. It is informational only and has no side effects on the Dataverse system. The blast radius of misuse is minimal as it only exposes non-sensitive schema configuration details that an authorized user would typically have access to.

From the tool's definition Tool name includes 'get_' prefix and description states 'Retrieves detailed information' with use case to 'inspect publisher properties' - purely query/read operations with no modification indicated.

Documented attack patterns abuse exactly the kind of access get_dataverse_publisher gives an agent:

How to control get_dataverse_publisher

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 get_dataverse_publisher:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_dataverse_publisher": {}
  }
}

get_dataverse_publisher is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Dataverse MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get_dataverse_publisher

What does the get_dataverse_publisher tool do? +

Retrieves detailed information about a specific publisher including its customization prefix, option value prefix, and configuration. Use this to inspect publisher properties and understand customization settings. It is categorised as a Read tool in the Dataverse MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_dataverse_publisher? +

Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for get_dataverse_publisher: 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.

What risk level is get_dataverse_publisher? +

get_dataverse_publisher is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_dataverse_publisher? +

Yes. Add a rate_limit block to the get_dataverse_publisher 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.

How do I block get_dataverse_publisher completely? +

Set action: deny in the PolicyLayer policy for get_dataverse_publisher. 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.

What MCP server provides get_dataverse_publisher? +

get_dataverse_publisher 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.

Enforce policy on every Dataverse MCP Server tool call.

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.

Free to start. No card required.

71 Dataverse MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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