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 performs a simple retrieval of existing configuration state without creating, modifying, deleting, or executing any operations. It is purely informational, analogous to checking a current setting or status. The blast radius of misuse is negligible — an AI agent querying this would only learn what solution context is active, posing no risk to data integrity or system stability.
From the tool's definition Tool name is 'get_solution_context' and description states it 'Retrieves the currently active solution context information' and 'check which solution is currently set' — these are read-only query operations with no data modification or side effects.
Attacks that exploit this kind of access
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 (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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