hash_keys

Get all field names from hash.

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

What hash_keys does on Amazon SageMaker AI MCP Server

AI agents call hash_keys 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_keys needs a policy

This tool retrieves field names from a hash data structure—a read-only query operation with no capability to modify, delete, or execute code. The blast radius of misuse is minimal, limited to information disclosure of field names. Severity is low because field names alone typically reveal minimal sensitive information without the accompanying values.

From the tool's definition Tool name 'hash_keys' and description 'Get all field names from hash' indicate a retrieval operation that queries data structure metadata without modification or side effects.

Questions about hash_keys

What does the hash_keys tool do? +

Get all field names from 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_keys? +

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

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

Can I rate-limit hash_keys? +

Yes. Add a rate_limit block to the hash_keys 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_keys completely? +

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

hash_keys 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.