cache_append

Append a string to an existing value.

Server AWS ElastiCache MCP Server awslabs.elasticache-mcp-server
Category Write
Risk class Medium
Parameters 00 required

What cache_append does on AWS ElastiCache MCP Server

AI agents use cache_append to create or update resources in AWS ElastiCache MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS ElastiCache MCP Server environment.

Why cache_append needs a policy

The tool modifies existing cache data by appending a string, which is a reversible write operation (the cache entry can be overwritten or deleted). It does not delete or irreversibly destroy data, execute code, or involve financial transactions. Severity is medium because an agent could corrupt cache data at scale, affecting application behavior.

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

Questions about cache_append

What does the cache_append tool do? +

Append a string to an existing value. It is categorised as a Write tool in the AWS ElastiCache 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_append? +

Register the AWS ElastiCache 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 ElastiCache MCP Server. Nothing to install.

What risk level is cache_append? +

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

Can I rate-limit cache_append? +

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.

How do I block cache_append completely? +

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.

What MCP server provides cache_append? +

cache_append is provided by the AWS ElastiCache MCP Server MCP server (awslabs.elasticache-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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