AI agents invoke reload_runtime_config to trigger actions in Web Scraper. 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.
Reloading runtime configuration is an active execution operation that modifies the running state of the server by re-reading and applying config files. While it doesn't directly delete data or move money, it can have significant side effects (e.g., changing anti-bot bypass settings, proxy configurations, or scraping behaviors) that affect ongoing and future operations.
From the tool's definition 'Reload runtime settings from config files' — triggers an active reload operation that changes the server's live runtime configuration
Documented attack patterns abuse exactly the kind of access reload_runtime_config gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Web Scraper, and nothing reaches the server without passing your rules. This is the rule we recommend for reload_runtime_config:
{
"version": "1",
"default": "deny",
"tools": {
"reload_runtime_config": {
"limits": [
{
"counter": "reload_runtime_config_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} reload_runtime_config 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.
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Reload runtime settings from config files. It is categorised as a Execute tool in the Web Scraper MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Web Scraper MCP server in PolicyLayer and add a rule for reload_runtime_config: 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 Web Scraper. Nothing to install.
reload_runtime_config 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 reload_runtime_config 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 reload_runtime_config. 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.
reload_runtime_config is provided by the Web Scraper MCP server (imyourboyroy/webscrapertoolkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Web Scraper, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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