[DEPRECATED — use deploy_site instead] Set up GitHub Pages deployment workflow. This alias will be removed in v1.1.0.
AI agents invoke deploy_pages to trigger actions in Documcp. 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 a deployment workflow which runs code/operations against GitHub Pages infrastructure. Even though deprecated, it remains capable of triggering automated deployment actions whose effects depend on the repository context and cannot be easily reversed without additional administrative actions.
From the tool's definition 'Set up GitHub Pages deployment workflow' - this triggers automated deployment operations with external effects on GitHub infrastructure that depend on arguments and repository configuration.
Documented attack patterns abuse exactly the kind of access deploy_pages gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Documcp, and nothing reaches the server without passing your rules. This is the rule we recommend for deploy_pages:
{
"version": "1",
"default": "deny",
"tools": {
"deploy_pages": {
"limits": [
{
"counter": "deploy_pages_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} deploy_pages 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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[DEPRECATED — use deploy_site instead] Set up GitHub Pages deployment workflow. This alias will be removed in v1.1.0. It is categorised as a Execute tool in the Documcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Docu MCP server in PolicyLayer and add a rule for deploy_pages: 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 Documcp. Nothing to install.
deploy_pages 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 deploy_pages 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 deploy_pages. 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.
deploy_pages is provided by the Docu MCP server (tosin2013/documcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Documcp, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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