remove_deafness_by_caster
Exercise the original caster
This record as markdown: /tools/torch-to-crown/remove-deafness-by-caster.md
What remove_deafness_by_caster does on Torch-to-Crown
AI agents call remove_deafness_by_caster to permanently remove resources in Torch-to-Crown, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why remove_deafness_by_caster is rated Critical
An AI agent that decides to call remove_deafness_by_caster doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Torch-to-Crown is gone. There is no undo for destructive operations.
Attacks that exploit this kind of access
The rule that runs remove_deafness_by_caster 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 remove_deafness_by_caster, this is the rule to start with:
remove_deafness_by_caster is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Torch-to-Crown, apply this rule, and every remove_deafness_by_caster call is checked against it from then on.
Questions about remove_deafness_by_caster
Exercise the original caster. It is categorised as a Destructive tool in the Torch-to-Crown MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Torch-to-Crown MCP server in PolicyLayer and add a rule for remove_deafness_by_caster: 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.
remove_deafness_by_caster is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the remove_deafness_by_caster 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 remove_deafness_by_caster. 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.
remove_deafness_by_caster 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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