Low Risk

chieflab_list_specialists

P87 — list the specialist agents ChiefLab can delegate to (design / video / research / outreach / seo / analytics). USE WHEN the user asks 'what can ChiefLab do beyond launch posts?' or before calling chieflab_request_specialist. Returns the kind + label for each so the caller can pick the right ...

Part of the ChiefLab server.

chieflab_list_specialists 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_list_specialists 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_list_specialists 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_list_specialists": {}
  }
}

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_list_specialists 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_list_specialists 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_list_specialists tool do? +

P87 — list the specialist agents ChiefLab can delegate to (design / video / research / outreach / seo / analytics). USE WHEN the user asks 'what can ChiefLab do beyond launch posts?' or before calling chieflab_request_specialist. Returns the kind + label for each so the caller can pick the right one.. 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_list_specialists? +

Register the ChiefLab MCP server in PolicyLayer and add a rule for chieflab_list_specialists: 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_list_specialists? +

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

Can I rate-limit chieflab_list_specialists? +

Yes. Add a rate_limit block to the chieflab_list_specialists 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_list_specialists completely? +

Set action: deny in the PolicyLayer policy for chieflab_list_specialists. 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_list_specialists? +

chieflab_list_specialists 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.

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

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