runner_startJob
Start a bounded Runner task with an idempotency key (POST /v1/runner/jobs) [service status: not_deployed]
This record as markdown: /tools/lifesi-genesis-mcp/runner-startjob.md
What runner_startJob does on Genesis
AI agents invoke runner_startJob to trigger actions in Genesis. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
body | object | Yes | Closed, bounded start input, <= 64 KiB of UTF-8 JSON. Tenant and subject always come from verified identity. |
Parameters from the server's own tool schema.
Why runner_startJob is rated High
runner_startJob triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Risk signalsAccepts raw HTML/template content (body) · High parameter count (14 properties)
Attacks that exploit this kind of access
The rule that runs runner_startJob safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Genesis, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For runner_startJob, this is the rule to start with:
runner_startJob 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 Genesis, apply this rule, and every runner_startJob call is checked against it from then on.
Questions about runner_startJob
Start a bounded Runner task with an idempotency key (POST /v1/runner/jobs) [service status: not_deployed]. It is categorised as a Execute tool in the Genesis MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
runner_startJob accepts 1 parameter: body. Required: body. The full parameter table on this page comes from the server's own tool schema.
Register the Genesis MCP server in PolicyLayer and add a rule for runner_startJob: 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 Genesis. Nothing to install.
runner_startJob 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 runner_startJob 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 runner_startJob. 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.
runner_startJob is provided by the Genesis MCP server (@lifesi/genesis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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