Increment a counter in the cache.
AI agents use cache_incr to create or update resources in AWS Labs Aurora DSQL MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS Labs Aurora DSQL MCP Server environment.
Incrementing a counter modifies existing data in the cache. This is a reversible write operation (the counter can be decremented or reset). It does not delete data, execute code, or involve financial transactions. Severity is medium because misuse could corrupt counters or cause application logic errors, but the blast radius is limited.
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 Aurora DSQL MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AWS Labs Aurora DSQL 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 Aurora DSQL 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 Aurora DSQL MCP Server MCP server (awslabs.aurora-dsql-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.