identity_get_oauth2_provider
AI agents call identity_get_oauth2_provider 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.
Despite the empty description reducing certainty, 'get' operations are conventionally Read operations that retrieve data. OAuth2 provider configuration access is informational and does not modify or execute anything. However, the low confidence reflects the missing description which prevents full assessment of potential scope or sensitive data exposure.
From the tool's definition Tool name contains 'get', which typically indicates retrieval/query operations without side effects. The prefix 'identity_get' suggests reading OAuth2 provider configuration or metadata.
Attacks that exploit this kind of access
identity_get_oauth2_provider. It is categorised as a Read tool in the Amazon SageMaker AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for identity_get_oauth2_provider: 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.
identity_get_oauth2_provider 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 identity_get_oauth2_provider 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 identity_get_oauth2_provider. 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.
identity_get_oauth2_provider 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.