Run maintenance checks on Claude Code installation. Identifies issues, old backups, and archive candidates. Can optionally perform fixes automatically.
AI agents invoke run_maintenance to trigger actions in Claude Code Toolkit. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes maintenance operations that modify the Claude Code installation state (fixing identified issues, managing backups and archives). While it is not destructive by default (fixes are typically reversible), the automatic execution of unspecified fixes makes it an Execute-category tool.
From the tool's definition Tool description states it "Run[s] maintenance checks" and "Can optionally perform fixes automatically." The word 'run' combined with 'automatically perform fixes' indicates code execution and automated side effects whose extent depends on what issues are…
Documented attack patterns abuse exactly the kind of access run_maintenance gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Claude Code Toolkit, and nothing reaches the server without passing your rules. This is the rule we recommend for run_maintenance:
{
"version": "1",
"default": "deny",
"tools": {
"run_maintenance": {
"limits": [
{
"counter": "run_maintenance_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} run_maintenance stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Run maintenance checks on Claude Code installation. Identifies issues, old backups, and archive candidates. Can optionally perform fixes automatically. It is categorised as a Execute tool in the Claude Code Toolkit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Code Toolkit MCP server in PolicyLayer and add a rule for run_maintenance: 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 Code Toolkit. Nothing to install.
run_maintenance is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_maintenance 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 run_maintenance. 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.
run_maintenance is provided by the Claude Code Toolkit MCP server (asifkibria/claude-code-toolkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Claude Code Toolkit, 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.
40 Claude Code Toolkit tools catalogued and risk-classified — across an index of 43,000+ MCP servers.