Force-update the local LaunchFrame service cache by re-downloading cached services.
AI agents use cli_cache_update to create or update resources in LaunchFrame MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your LaunchFrame MCP environment.
This tool modifies cached service data on the local system by force-updating it, which is a reversible write operation. It does not execute arbitrary commands, delete data irreversibly, or move money. While it affects local state, the changes are non-destructive and can be reverted by re-caching.
From the tool's definition Tool name 'cli_cache_update' and description 'Force-update the local LaunchFrame service cache by re-downloading cached services' indicates modification of cached data through re-downloading and updating operations.
Attacks that exploit this kind of access
Force-update the local LaunchFrame service cache by re-downloading cached services. It is categorised as a Write tool in the LaunchFrame MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the LaunchFrame MCP server in PolicyLayer and add a rule for cli_cache_update: 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 LaunchFrame MCP. Nothing to install.
cli_cache_update 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 cli_cache_update 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 cli_cache_update. 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.
cli_cache_update is provided by the LaunchFrame MCP server (launchframe-dev/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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