cache_prepend

Prepend a string to an existing value.

Server AWS Labs Amazon Q Business anonymous mode MCP Server awslabs.amazon-qbusiness-anonymous-mcp-server
Category Write
Risk class Medium
Parameters 00 required

What cache_prepend does on AWS Labs Amazon Q Business anonymous mode MCP Server

AI agents use cache_prepend to create or update resources in AWS Labs Amazon Q Business anonymous mode MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS Labs Amazon Q Business anonymous mode MCP Server environment.

Why cache_prepend needs a policy

This tool modifies existing data by prepending content to it, which is a reversible write operation. The severity is medium because modifying existing values could affect application behavior or data integrity, but the operation is generally reversible. Confidence is moderate because the description is sparse and doesn't clarify what data store or resource is being modified.

From the tool's definition Prepend a string to an existing value

Questions about cache_prepend

What does the cache_prepend tool do? +

Prepend a string to an existing value. It is categorised as a Write tool in the AWS Labs Amazon Q Business anonymous mode MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on cache_prepend? +

Register the AWS Labs Amazon Q Business anonymous mode MCP Server MCP server in PolicyLayer and add a rule for cache_prepend: 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 AWS Labs Amazon Q Business anonymous mode MCP Server. Nothing to install.

What risk level is cache_prepend? +

cache_prepend is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit cache_prepend? +

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

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

cache_prepend is provided by the AWS Labs Amazon Q Business anonymous mode MCP Server MCP server (awslabs.amazon-qbusiness-anonymous-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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