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.
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.
This tool performs a query operation that returns metadata about a Dataverse solution. It has no side effects, does not modify data, does not execute code, and does not delete or move resources. Retrieving schema and configuration information is a standard read operation with minimal risk to the system.
From the tool's definition Tool description states it 'Retrieves detailed information' and is used to 'inspect solution properties and understand solution structure.' The verb 'retrieves' and the read-only intent ('inspect') indicate this tool only queries data without modification.
Attacks that exploit this kind of access
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.
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.
get_dataverse_solution 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_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.
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.
get_dataverse_solution is provided by the Dataverse MCP Server MCP server (wizspdemo/dataverse-mcp3). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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