clear_cache

A destructive tool on the Mcpg MCP server.

SERVERMcpg SOURCEpypi:mcpg

Critical RISK CLASS

Category Destructive

Parameters 00 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-devopam-mcpg/clear-cache.md

WHAT IT DOES

What clear_cache does on Mcpg

AI agents call clear_cache to permanently remove resources in Mcpg, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

RISK

Why clear_cache is rated Critical

The name 'clear_cache' suggests irreversible removal of cached files or data. In the context of an OpenSCAD MCP server that renders 3D models and stores results, clearing the cache would permanently delete stored render data that cannot be recovered without re-rendering.

From the tool's definition Tool name 'clear_cache' with empty description. The word 'clear' strongly implies irreversible deletion of cached data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs clear_cache safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For clear_cache, this is the rule to start with:

clear_cache Hidden

clear_cache is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "clear_cache"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcpg, apply this rule, and every clear_cache call is checked against it from then on.

FAQ

Questions about clear_cache

What does the clear_cache tool do? +

clear_cache is a destructive tool on the Mcpg MCP server. It is categorised as a Destructive tool in the Mcpg 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 clear_cache? +

Register the Mcpg 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 Mcpg. Nothing to install.

What risk level is clear_cache? +

clear_cache 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 clear_cache? +

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.

How do I block clear_cache completely? +

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.

What MCP server provides clear_cache? +

clear_cache is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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