Low Risk

chieflab_get_users_after_build

Outcome-named alias for chiefmo_launch_product. USE WHEN a coding agent just built, shipped, or deployed something and the user asks 'get users', 'find customers', 'make money from this', 'get paying users', 'get eyes on this', 'what now?', or 'how do I launch this?' This is the agent-dependency ...

Risk signalsHigh parameter count (11 properties)

Part of the ChiefLab server.

chieflab_get_users_after_build is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call chieflab_get_users_after_build to retrieve information from ChiefLab without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though chieflab_get_users_after_build only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "chieflab_get_users_after_build": {}
  }
}

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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_get_users_after_build 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_get_users_after_build only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the chieflab_get_users_after_build tool do? +

Outcome-named alias for chiefmo_launch_product. USE WHEN a coding agent just built, shipped, or deployed something and the user asks 'get users', 'find customers', 'make money from this', 'get paying users', 'get eyes on this', 'what now?', or 'how do I launch this?' This is the agent-dependency tool: after build, call this to turn the product into a repo-grounded money/distribution loop with launchPack, signed reviewUrl, approval-gated publish/send actions, 24h measurement, memory, next move, moneyLoop, and agentDependency. Gather repoContext first. Route exactly like chiefmo_launch_product; do not use chiefmo_diagnose_marketing for a new product.. It is categorised as a Read tool in the ChiefLab MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on chieflab_get_users_after_build? +

Register the ChiefLab MCP server in PolicyLayer and add a rule for chieflab_get_users_after_build: 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_get_users_after_build? +

chieflab_get_users_after_build is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit chieflab_get_users_after_build? +

Yes. Add a rate_limit block to the chieflab_get_users_after_build 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_get_users_after_build completely? +

Set action: deny in the PolicyLayer policy for chieflab_get_users_after_build. 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_get_users_after_build? +

chieflab_get_users_after_build 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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