Append a string to an existing value.
AI agents use cache_append to create or update resources in AWS S3 Tables MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS S3 Tables MCP Server environment.
The tool modifies existing data by appending content to it. This is a reversible write operation (the original value is changed but the cache entry could be updated again). Severity is medium because it modifies persistent cache state, but the description is brief and context-limited, reducing confidence slightly.
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 S3 Tables MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AWS S3 Tables 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 S3 Tables 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 S3 Tables MCP Server MCP server (awslabs.s3-tables-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.