Medium Risk

chieflab_post_launch_review

[chieflab_* alias of chiefmo_post_launch_review] USE WHEN ≥24h has passed since chiefmo_publish_approved_post fired and the user asks 'how did the launch perform?', 'what worked?', 'metrics from my launch'. Closes the loop: pulls 24h+ engagement (likes / comments / views / shares / follower delta...

Part of the ChiefLab server.

chieflab_post_launch_review can modify ChiefLab data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use chieflab_post_launch_review to create or modify resources in ChiefLab. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call chieflab_post_launch_review repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach ChiefLab.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "chieflab_post_launch_review": {
      "limits": [
        {
          "counter": "chieflab_post_launch_review_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full ChiefLab policy for all 45 tools.

Get this rule live on your own ChiefLab server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access chieflab_post_launch_review gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so chieflab_post_launch_review only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the chieflab_post_launch_review tool do? +

[chieflab_* alias of chiefmo_post_launch_review] USE WHEN ≥24h has passed since chiefmo_publish_approved_post fired and the user asks 'how did the launch perform?', 'what worked?', 'metrics from my launch'. Closes the loop: pulls 24h+ engagement (likes / comments / views / shares / follower delta) for posts in the launch run + recommends next iteration (rewrite, refresh creative, double down, pause). Returns per-account analytics + top posts + best-time-to-post + a structured next-move recommendation brief.. It is categorised as a Write tool in the ChiefLab MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on chieflab_post_launch_review? +

Register the ChiefLab MCP server in PolicyLayer and add a rule for chieflab_post_launch_review: 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.

What risk level is chieflab_post_launch_review? +

chieflab_post_launch_review is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit chieflab_post_launch_review? +

Yes. Add a rate_limit block to the chieflab_post_launch_review 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.

How do I block chieflab_post_launch_review completely? +

Set action: deny in the PolicyLayer policy for chieflab_post_launch_review. 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.

What MCP server provides chieflab_post_launch_review? +

chieflab_post_launch_review 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.

Enforce policy on every ChiefLab tool call.

Deterministic rules across all 45 ChiefLab tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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