get_azure_token_status

Gets the current status of the Azure token cache.

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

What get_azure_token_status does on Semantic Model MCP Server

AI agents call get_azure_token_status 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_azure_token_status needs a policy

This tool retrieves status information about the Azure token cache—a read-only diagnostic check. It does not modify, delete, execute, or create any resources. The worst-case misuse would be information disclosure about authentication state, which has low blast radius compared to other capabilities on this server like execute_dax_query or model editing functions.

From the tool's definition Tool name 'get_azure_token_status' and description 'Gets the current status of the Azure token cache' indicate a query/retrieval operation with no data modification or side effects.

Questions about get_azure_token_status

What does the get_azure_token_status tool do? +

Gets the current status of the Azure token cache. 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_azure_token_status? +

Register the Semantic Model MCP Server MCP server in PolicyLayer and add a rule for get_azure_token_status: 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_azure_token_status? +

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

Can I rate-limit get_azure_token_status? +

Yes. Add a rate_limit block to the get_azure_token_status 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_azure_token_status completely? +

Set action: deny in the PolicyLayer policy for get_azure_token_status. 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_azure_token_status? +

get_azure_token_status 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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