trigger_batch_run
Run a scheduled task right now instead of waiting.
This record as markdown: /tools/io-github-homenshum-nodebench/trigger-batch-run.md
What trigger_batch_run does on Nodebench
AI agents invoke trigger_batch_run to trigger actions in Nodebench. 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.
Why trigger_batch_run is rated High
This tool executes a scheduled task immediately, which falls under Execute category as it triggers external operations with effects determined by the task configuration. Severity is high because uncontrolled batch task execution could consume resources, process data unexpectedly, or trigger side effects depending on what the scheduled task does.
From the tool's definition Tool name 'trigger_batch_run' and description 'Run a scheduled task right now instead of waiting' indicate execution of a pre-defined batch operation outside its normal schedule.
Attacks that exploit this kind of access
The rule that runs trigger_batch_run safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For trigger_batch_run, this is the rule to start with:
trigger_batch_run 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every trigger_batch_run call is checked against it from then on.
Questions about trigger_batch_run
Run a scheduled task right now instead of waiting. It is categorised as a Execute tool in the Nodebench MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Nodebench MCP server in PolicyLayer and add a rule for trigger_batch_run: 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 Nodebench. Nothing to install.
trigger_batch_run 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 trigger_batch_run 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 trigger_batch_run. 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.
trigger_batch_run is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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