Clears session cache
AI agents call clear_cache to permanently remove resources in F1 — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Clearing a cache permanently removes stored session data. While the underlying data may still be retrievable from its source, the cached copies are irreversibly deleted, requiring re-computation or re-fetching. This fits the Destructive category. Severity is medium as it affects performance/availability but not primary data sources.
From the tool's definition 'Clears session cache' — clearing cache is an irreversible deletion of cached data
Attacks that exploit this kind of access
Clears session cache. It is categorised as a Destructive tool in the F1 MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the F1 MCP server in PolicyLayer and add a rule for clear_cache: 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 F1. Nothing to install.
clear_cache is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the clear_cache 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 clear_cache. 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.
clear_cache is provided by the F1 MCP server (luffy610/f1-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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