Retrieves the currently active solution context information. Use this to check which solution is currently set for metadata operations and to verify the customization prefix being used for new components.
AI agents call get_solution_context 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.
This tool queries and returns metadata about the current solution context (solution name, customization prefix, etc.). It performs no write, delete, execute, or financial operations. The verb 'retrieves' and action 'check/verify' confirm it is a read-only query operation with no blast radius if misused by an AI agent.
From the tool's definition Tool description states 'Retrieves the currently active solution context information' and 'check which solution is currently set' — purely informational retrieval with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_solution_context 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 get_solution_context:
{
"version": "1",
"default": "deny",
"tools": {
"get_solution_context": {}
}
} get_solution_context is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieves the currently active solution context information. Use this to check which solution is currently set for metadata operations and to verify the customization prefix being used for new components. It is categorised as a Read tool in the Dataverse MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for get_solution_context: 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.
get_solution_context is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_solution_context 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 get_solution_context. 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.
get_solution_context 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.