get_resource_schema_information

get_resource_schema_information

Server Amazon SageMaker AI MCP Server awslabs.sagemaker-ai-mcp-server
Category Read
Risk class Low
Parameters 00 required

What get_resource_schema_information does on Amazon SageMaker AI MCP Server

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

Why get_resource_schema_information needs a policy

The name pattern 'get_*' is strongly indicative of a read operation that retrieves information about resource schemas without modifying, deleting, or executing code. No destructive, financial, or execution capabilities are implied. Low severity due to typical read operation characteristics.

From the tool's definition Tool name 'get_resource_schema_information' indicates retrieval of schema metadata with no side effects. Description is empty, reducing confidence.

Questions about get_resource_schema_information

What does the get_resource_schema_information tool do? +

get_resource_schema_information. It is categorised as a Read tool in the Amazon SageMaker AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_resource_schema_information? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for get_resource_schema_information: 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 Amazon SageMaker AI MCP Server. Nothing to install.

What risk level is get_resource_schema_information? +

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

Can I rate-limit get_resource_schema_information? +

Yes. Add a rate_limit block to the get_resource_schema_information 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_resource_schema_information completely? +

Set action: deny in the PolicyLayer policy for get_resource_schema_information. 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_resource_schema_information? +

get_resource_schema_information is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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