Add an Actor as a new callable tool
Risk signalsRegisters external actors for execution
Part of the Apify server.
Free to start. No card required.
AI agents use add-actor to create or modify resources in Apify. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call add-actor repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Apify.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"add-actor": {
"limits": [
{
"counter": "add-actor_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Apify policy for all 18 tools.
These attack patterns abuse exactly the kind of access add-actor gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Add an Actor as a new callable tool. It is categorised as a Write tool in the Apify MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Apify MCP server in PolicyLayer and add a rule for add-actor: 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 Apify. Nothing to install.
add-actor is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add-actor 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 add-actor. 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.
add-actor is provided by the Apify MCP server (@@apify/actors-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 18 Apify tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.