Escape hatch for Autotask REST endpoints not yet wrapped by a typed tool. Use sparingly — typed tools are preferred for safety. The existing Content-Type, Accept, ApiIntegrationcode, UserName, Secret headers are added automatically. The path is resolved against the zone-resolved base URL (https:/...
AI agents invoke autotask_raw_request to trigger actions in Autotask. 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 allows arbitrary HTTP requests to any Autotask REST endpoint, meaning it can perform reads, writes, deletes, financial operations, or any other action depending on the arguments passed. It is a generic execution escape hatch with no restrictions on method or endpoint, giving it the maximum blast radius across all categories.
From the tool's definition Escape hatch for Autotask REST endpoints not yet wrapped by a typed tool... The path is resolved against the zone-resolved base URL
Documented attack patterns abuse exactly the kind of access autotask_raw_request gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Autotask, and nothing reaches the server without passing your rules. This is the rule we recommend for autotask_raw_request:
{
"version": "1",
"default": "deny",
"tools": {
"autotask_raw_request": {
"limits": [
{
"counter": "autotask_raw_request_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} autotask_raw_request 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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Escape hatch for Autotask REST endpoints not yet wrapped by a typed tool. Use sparingly — typed tools are preferred for safety. The existing Content-Type, Accept, ApiIntegrationcode, UserName, Secret headers are added automatically. The path is resolved against the zone-resolved base URL (https://webservices<N>.autotask.net/ATServicesRest/v1.0). Pass queryParams as a flat object of string/number/boolean values; they will be URL-encoded and appended to the path. It is categorised as a Execute tool in the Autotask MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Autotask MCP server in PolicyLayer and add a rule for autotask_raw_request: 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 Autotask. Nothing to install.
autotask_raw_request 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 autotask_raw_request 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 autotask_raw_request. 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.
autotask_raw_request is provided by the Autotask MCP server (wyre-technology/autotask-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Autotask, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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91 Autotask tools catalogued and risk-classified — across an index of 43,000+ MCP servers.