query_task_outputs
AI agents call query_task_outputs to retrieve information from RunningHub MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name 'query_task_outputs' strongly suggests reading or retrieving task output data. It does not appear to modify, delete, execute, or commit financial operations. Although the description is uninformative, the sibling tools (get_task_detail, submit_task, sync_task_status, upload_file) are primarily read/write/execute operations, positioning this as a read operation that queries stored results.
From the tool's definition Tool name contains 'query' and 'outputs', and semantic context indicates data retrieval. Description is empty, but the naming pattern aligns with query operations which retrieve data without modification.
Attacks that exploit this kind of access
query_task_outputs. It is categorised as a Read tool in the RunningHub MCP Server MCP Server, which means it retrieves data without modifying state.
Register the RunningHub MCP Server MCP server in PolicyLayer and add a rule for query_task_outputs: 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 RunningHub MCP Server. Nothing to install.
query_task_outputs 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 query_task_outputs 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 query_task_outputs. 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.
query_task_outputs is provided by the RunningHub MCP Server MCP server (tolatolatop/runninghub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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