Operator: chieflab-launch (primary). Spec v0.1 reference implementation of the orchestrator. End-to-end launch loop: repo-grounded positioning + per-channel drafts (linkedin, x, hn, reddit, email, landing_hero, product_hunt) + image briefs + approval-gated publishActions + signed reviewUrl + 24h ...
Risk signalsHigh parameter count (10 properties)
Part of the ChiefLab server.
Free to start. No card required.
AI agents invoke chieflab_launch_product to trigger processes or run actions in ChiefLab. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
chieflab_launch_product can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"chieflab_launch_product": {
"limits": [
{
"counter": "chieflab_launch_product_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} See the full ChiefLab policy for all 45 tools.
These attack patterns abuse exactly the kind of access chieflab_launch_product gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Operator: chieflab-launch (primary). Spec v0.1 reference implementation of the orchestrator. End-to-end launch loop: repo-grounded positioning + per-channel drafts (linkedin, x, hn, reddit, email, landing_hero, product_hunt) + image briefs + approval-gated publishActions + signed reviewUrl + 24h measurement queue. Internally composes chieflab-post + chieflab-email under one runId. Spec-renamed alias of chiefmo_launch_product (backwards-compat retained).. It is categorised as a Execute tool in the ChiefLab MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ChiefLab MCP server in PolicyLayer and add a rule for chieflab_launch_product: 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 ChiefLab. Nothing to install.
chieflab_launch_product 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 chieflab_launch_product 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 chieflab_launch_product. 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.
chieflab_launch_product is provided by the ChiefLab MCP server (@chieflab/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 45 ChiefLab tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.