Decrement a counter in the cache.
AI agents use cache_decr to create or update resources in AWS HealthOmics MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS HealthOmics MCP Server environment.
Decrementing a counter modifies existing data in the cache (a reversible write operation). It changes a numeric value but does not permanently delete data. The tool seems out of place on an AWS HealthOmics server, which slightly lowers confidence, but the description clearly indicates a data modification operation.
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 HealthOmics MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AWS HealthOmics 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 HealthOmics 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 HealthOmics MCP Server MCP server (awslabs.aws-healthomics-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.