Check the current status of a submitted task.
AI agents call get_task_status to retrieve information from Hive without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries the state of an existing task in the distributed compute cluster. It is a retrieval operation with no side effects—it neither executes code, modifies data, deletes resources, nor commits financial obligations. The lowest severity applies since status queries on idle cluster tasks present minimal risk even if misused by an AI agent.
From the tool's definition Tool name 'get_task_status' and description 'Check the current status of a submitted task' indicate a read operation that retrieves status information without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access get_task_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Hive, and nothing reaches the server without passing your rules. This is the rule we recommend for get_task_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_task_status": {}
}
}get_task_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Check the current status of a submitted task. It is categorised as a Read tool in the Hive MCP Server, which means it retrieves data without modifying state.
Register the Hive MCP server in PolicyLayer and add a rule for get_task_status: 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 Hive. Nothing to install.
get_task_status 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_status 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_status. 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_status is provided by the Hive MCP server (saikodi/hive-compute-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Hive, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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12 Hive tools catalogued and risk-classified — across an index of 43,000+ MCP servers.