train_animal_friend_trick
Spend exactly one week with an active, present animal friend to teach one referee-authored trick suitable for a well-trained domestic pet. A training_key makes uncertain retries idempotent; training is refused after the calendar-managed three-month learning window closes.
This record as markdown: /tools/torch-to-crown/train-animal-friend-trick.md
What train_animal_friend_trick does on Torch-to-Crown
AI agents use train_animal_friend_trick to create or update resources in Torch-to-Crown, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Torch-to-Crown environment.
Why train_animal_friend_trick is rated Medium
An AI agent can call train_animal_friend_trick faster than any human can review: one bad instruction and it creates or modifies resources in Torch-to-Crown by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs train_animal_friend_trick safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Torch-to-Crown, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For train_animal_friend_trick, this is the rule to start with:
train_animal_friend_trick stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Torch-to-Crown, apply this rule, and every train_animal_friend_trick call is checked against it from then on.
Questions about train_animal_friend_trick
Spend exactly one week with an active, present animal friend to teach one referee-authored trick suitable for a well-trained domestic pet. A training_key makes uncertain retries idempotent; training is refused after the calendar-managed three-month learning window closes. It is categorised as a Write tool in the Torch-to-Crown MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Torch-to-Crown MCP server in PolicyLayer and add a rule for train_animal_friend_trick: 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 Torch-to-Crown. Nothing to install.
train_animal_friend_trick is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the train_animal_friend_trick 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 train_animal_friend_trick. 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.
train_animal_friend_trick is provided by the Torch-to-Crown MCP server (Diogenes187/Torch-to-Crown). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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