Decrement a counter in the cache.
AI agents use cache_decr to create or update resources in AWS Labs CloudWatch MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS Labs CloudWatch MCP Server environment.
Decrementing a counter modifies existing cached data. This is a reversible write operation (the counter can be incremented again), so it falls under Write rather than Destructive. The blast radius is medium since cache manipulation could affect application behavior or rate limiting logic, but it is not irreversible.
From the tool's definition Decrement a counter in the cache
Attacks that exploit this kind of access
Decrement a counter in the cache. It is categorised as a Write tool in the AWS Labs CloudWatch MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AWS Labs CloudWatch MCP Server MCP server in PolicyLayer and add a rule for cache_decr: 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 CloudWatch MCP Server. Nothing to install.
cache_decr 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_decr 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_decr. 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_decr is provided by the AWS Labs CloudWatch MCP Server MCP server (awslabs.cloudwatch-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.