P87 — delegate to a specialist agent. USE WHEN the launch needs more than copy: a graphic brief (kind='design'), a demo video shot list (kind='video'), a prospective-customer research plan (kind='research'), personalized outreach drafts (kind='outreach'), landing-page SEO recommendations (kind='s...
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AI agents call chieflab_request_specialist 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_request_specialist 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.
{
"version": "1",
"default": "deny",
"tools": {
"chieflab_request_specialist": {}
}
}See the full ChiefLab policy for all 45 tools.
These attack patterns abuse exactly the kind of access chieflab_request_specialist gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
P87 — delegate to a specialist agent. USE WHEN the launch needs more than copy: a graphic brief (kind='design'), a demo video shot list (kind='video'), a prospective-customer research plan (kind='research'), personalized outreach drafts (kind='outreach'), landing-page SEO recommendations (kind='seo'), or a verdict + recommended next move from measurement data (kind='analytics'). Specialists are deterministic stubs today — they return structured briefs / plans / drafts the founder can act on immediately. Future LLM-backed implementations swap in transparently. Each request creates an approval-gated action so the brief lands in the Launch Room. Pass runId for grounding in the originating launch's intelligence brief.. It is categorised as a Read tool in the ChiefLab MCP Server, which means it retrieves data without modifying state.
Register the ChiefLab MCP server in PolicyLayer and add a rule for chieflab_request_specialist: 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_request_specialist is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the chieflab_request_specialist 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_request_specialist. 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_request_specialist 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.
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