Append a string to an existing value.
AI agents use cache_append to create or update resources in AWS Labs Amazon Kendra Index 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 Kendra Index MCP Server environment.
The tool modifies existing data by appending content to it, which is a reversible write operation. It creates or modifies data but does not irreversibly delete it. Confidence is moderate because the description is brief and context about what cache is being modified is limited.
From the tool's definition Append a string to an existing value
Attacks that exploit this kind of access
Append a string to an existing value. It is categorised as a Write tool in the AWS Labs Amazon Kendra Index MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AWS Labs Amazon Kendra Index MCP Server MCP server in PolicyLayer and add a rule for cache_append: 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 Kendra Index MCP Server. Nothing to install.
cache_append is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the cache_append 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 cache_append. 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.
cache_append is provided by the AWS Labs Amazon Kendra Index MCP Server MCP server (awslabs.amazon-kendra-index-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.