hash_exists

Check if field exists in hash.

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

What hash_exists does on Amazon SageMaker AI MCP Server

AI agents call hash_exists 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 hash_exists needs a policy

This tool performs a lookup or existence check on hash data, which is a read-only operation with no side effects, no code execution, and no data modification. It retrieves or queries state without altering it, matching the 'Read' category definition. Severity is low because misuse would only expose information rather than cause damage or unwanted actions.

From the tool's definition Tool name 'hash_exists' and description 'Check if field exists in hash' indicate a query operation that verifies the presence of a field in a hash data structure without modification.

Questions about hash_exists

What does the hash_exists tool do? +

Check if field exists in hash. 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 hash_exists? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for hash_exists: 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 hash_exists? +

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

Can I rate-limit hash_exists? +

Yes. Add a rate_limit block to the hash_exists 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 hash_exists completely? +

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

hash_exists 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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