Increment a counter in the cache.
AI agents use cache_incr 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.
The tool modifies an existing value in the cache by incrementing a counter. This is a reversible write operation (the counter can be decremented or reset), not destructive. However, the description is minimal and the tool appears in a CloudWatch MCP server context which is unusual for a cache increment operation, slightly lowering confidence.
From the tool's definition Increment a counter in the cache
Attacks that exploit this kind of access
Increment 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_incr: 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_incr 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_incr 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_incr. 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_incr 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.