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factory_advance_experiment

Run exactly the next split within the same 3 comparison rounds and 60 run units used by other tools. Only after optimization may candidatePrompt be revised once. Validation freezes it; failures stop later calls. Never automatically adopt or overwrite a draft.

SERVERDutyDeck SOURCEtaokoplay/DutyDeck
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dutydeck/factory-advance-experiment.md

What factory_advance_experiment does on DutyDeck

AI agents invoke factory_advance_experiment to trigger actions in DutyDeck. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

Why factory_advance_experiment is rated High

factory_advance_experiment triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Questions about factory_advance_experiment

What does the factory_advance_experiment tool do? +

Run exactly the next split within the same 3 comparison rounds and 60 run units used by other tools. Only after optimization may candidatePrompt be revised once. Validation freezes it; failures stop later calls. Never automatically adopt or overwrite a draft. It is categorised as a Execute tool in the DutyDeck MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on factory_advance_experiment? +

Register the DutyDeck MCP server in PolicyLayer and add a rule for factory_advance_experiment: 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 DutyDeck. Nothing to install.

What risk level is factory_advance_experiment? +

factory_advance_experiment is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit factory_advance_experiment? +

Yes. Add a rate_limit block to the factory_advance_experiment 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 factory_advance_experiment completely? +

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

factory_advance_experiment is provided by the DutyDeck MCP server (taokoplay/DutyDeck). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on DutyDeck, and thousands of servers like it.

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