Check if a new version of the critical rules is available on GitHub
AI agents call check_for_updates to retrieve information from Claude Critical Rules MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a read-only operation: it checks the availability of updates by querying GitHub but does not apply changes, execute code, delete data, or commit financial transactions. The blast radius if misused by an agent is minimal—at worst, it reveals update availability or network information. This is a classic Read category operation.
From the tool's definition Tool name is 'check_for_updates' and description states it 'Check if a new version of the critical rules is available on GitHub'. This is a query operation that retrieves version information from a remote source without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access check_for_updates gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Claude Critical Rules MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for check_for_updates:
{
"version": "1",
"default": "deny",
"tools": {
"check_for_updates": {}
}
}check_for_updates is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Check if a new version of the critical rules is available on GitHub. It is categorised as a Read tool in the Claude Critical Rules MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Claude Critical Rules MCP Server MCP server in PolicyLayer and add a rule for check_for_updates: 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 Claude Critical Rules MCP Server. Nothing to install.
check_for_updates is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the check_for_updates 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 check_for_updates. 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.
check_for_updates is provided by the Claude Critical Rules MCP Server MCP server (optimaquantum/claude-critical-rules-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Claude Critical Rules MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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5 Claude Critical Rules MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.