Critical Risk →

cache_delete_many

Delete multiple values from the cache.

How to control cache_delete_many ↓

What cache_delete_many does on CloudWatch Application Signals MCP Server

AI agents call cache_delete_many to permanently remove resources in CloudWatch Application Signals MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Critical Risk

Why cache_delete_many needs a policy

This tool permanently removes data from cache storage without reversibility. While the blast radius depends on what data is cached, the irreversible deletion of potentially critical application state (metrics, observability data, or session information in an AWS monitoring context) makes this high severity.

From the tool's definition Tool name 'cache_delete_many' and description 'Delete multiple values from the cache' indicate irreversible deletion of cached data. The verb 'delete' combined with 'many' (implying bulk operation) is explicitly destructive.

Documented attack patterns abuse exactly the kind of access cache_delete_many gives an agent:

How to control cache_delete_many

PolicyLayer is an MCP gateway — it sits between your AI agents and CloudWatch Application Signals MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for cache_delete_many:

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "cache_delete_many"
  ]
}

cache_delete_many disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

  1. Create a free account and register CloudWatch Application Signals MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about cache_delete_many

What does the cache_delete_many tool do? +

Delete multiple values from the cache. It is categorised as a Destructive tool in the CloudWatch Application Signals MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on cache_delete_many? +

Register the CloudWatch Application Signals MCP Server MCP server in PolicyLayer and add a rule for cache_delete_many: 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 CloudWatch Application Signals MCP Server. Nothing to install.

What risk level is cache_delete_many? +

cache_delete_many is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit cache_delete_many? +

Yes. Add a rate_limit block to the cache_delete_many 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_delete_many completely? +

Set action: deny in the PolicyLayer policy for cache_delete_many. 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_delete_many? +

cache_delete_many is provided by the CloudWatch Application Signals MCP Server MCP server (awslabs.cloudwatch-applicationsignals-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every CloudWatch Application Signals MCP Server tool call.

Start from CloudWatch Application Signals MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

805 CloudWatch Application Signals MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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