This record as markdown: /tools/io-github-portel-dev-ncp/trigger.md
What trigger does on Ncp
AI agents invoke trigger to trigger actions in Ncp. 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 is rated High
This tool executes scheduled jobs on-demand, which is a form of code/operation execution. The severity is high because the blast radius depends on what the scheduled job performs - it could modify data, query systems, or trigger downstream processes.
From the tool's definition Tool description states 'Trigger an immediate execution of a scheduled job (manual run)' - directly triggers execution of external operations (scheduled jobs) whose effects depend on what the job does.
Attacks that exploit this kind of access
The rule that runs trigger safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ncp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For trigger, this is the rule to start with:
trigger 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 Ncp, apply this rule, and every trigger call is checked against it from then on.
Questions about trigger
Trigger an immediate execution of a scheduled job (manual run). It is categorised as a Execute tool in the Ncp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ncp MCP server in PolicyLayer and add a rule for trigger: 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 Ncp. Nothing to install.
trigger 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 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. 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 is provided by the Ncp MCP server (@portel/ncp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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