Get detailed information about a specific task execution.
AI agents call get_task to retrieve information from Automagik Tools without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about task execution details without performing any writes, deletions, code execution, or financial operations. It is a straightforward read-only query operation with minimal risk if misused by an AI agent, as it only exposes existing task metadata.
From the tool's definition Tool name 'get_task' and description 'Get detailed information about a specific task execution' indicate a retrieval operation with no modification or deletion of data.
Documented attack patterns abuse exactly the kind of access get_task gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Automagik Tools, and nothing reaches the server without passing your rules. This is the rule we recommend for get_task:
{
"version": "1",
"default": "deny",
"tools": {
"get_task": {}
}
}get_task is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed information about a specific task execution. It is categorised as a Read tool in the Automagik Tools MCP Server, which means it retrieves data without modifying state.
Register the Automagik Tools MCP server in PolicyLayer and add a rule for get_task: 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 Automagik Tools. Nothing to install.
get_task is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_task 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 get_task. 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.
get_task is provided by the Automagik Tools MCP server (namastexlabs/automagik-tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Automagik Tools, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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122 Automagik Tools tools catalogued and risk-classified — across an index of 43,000+ MCP servers.