Low Risk

get_dataverse_solution

Retrieves detailed information about a specific solution including its metadata, version, publisher details, and configuration. Use this to inspect solution properties and understand solution structure.

How to control get_dataverse_solution ↓

What get_dataverse_solution does on Dataverse MCP Server

AI agents call get_dataverse_solution 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_solution needs a policy

This tool performs informational queries on existing Dataverse solutions without modifying state, creating side effects, or executing code. It is a classic Read operation: retrieve and inspect data. The language 'Retrieves' and 'inspect' confirms non-destructive intent. No write, execute, or financial implications.

From the tool's definition Tool name 'get_dataverse_solution' and description 'Retrieves detailed information about a specific solution including its metadata, version, publisher details, and configuration.

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

How to control get_dataverse_solution

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_solution:

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

get_dataverse_solution 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_solution

What does the get_dataverse_solution tool do? +

Retrieves detailed information about a specific solution including its metadata, version, publisher details, and configuration. Use this to inspect solution properties and understand solution structure. 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_solution? +

Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for get_dataverse_solution: 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_solution? +

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

Can I rate-limit get_dataverse_solution? +

Yes. Add a rate_limit block to the get_dataverse_solution 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_solution completely? +

Set action: deny in the PolicyLayer policy for get_dataverse_solution. 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_solution? +

get_dataverse_solution 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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