get_lakehouse_sql_connection_string

Gets the SQL endpoint connection string for a specified Fabric Lakehouse.

Server Semantic Model MCP Server nahtheking/semantic-model-mcp
Category Read
Risk class Low
Parameters 00 required

What get_lakehouse_sql_connection_string does on Semantic Model MCP Server

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

Why get_lakehouse_sql_connection_string needs a policy

This tool retrieves and returns connection string information, which is a read-only operation with no side effects. However, the connection string itself is sensitive authentication material that could be misused if obtained by an unauthorized agent to connect to backend systems, elevating severity from low to medium.

From the tool's definition The tool name and description indicate it 'Gets the SQL endpoint connection string for a specified Fabric Lakehouse' — a retrieval operation that queries configuration data without modifying anything.

Questions about get_lakehouse_sql_connection_string

What does the get_lakehouse_sql_connection_string tool do? +

Gets the SQL endpoint connection string for a specified Fabric Lakehouse. It is categorised as a Read tool in the Semantic Model MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_lakehouse_sql_connection_string? +

Register the Semantic Model MCP Server MCP server in PolicyLayer and add a rule for get_lakehouse_sql_connection_string: 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 Semantic Model MCP Server. Nothing to install.

What risk level is get_lakehouse_sql_connection_string? +

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

Can I rate-limit get_lakehouse_sql_connection_string? +

Yes. Add a rate_limit block to the get_lakehouse_sql_connection_string 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_lakehouse_sql_connection_string completely? +

Set action: deny in the PolicyLayer policy for get_lakehouse_sql_connection_string. 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_lakehouse_sql_connection_string? +

get_lakehouse_sql_connection_string is provided by the Semantic Model MCP Server MCP server (nahtheking/semantic-model-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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