New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

saving_throw

Roll a saving throw for a combatant by category name or index. Set shield_frontal only for an effect from in front of a Shielded defender. Set dexterity_cover only when the save involves Dexterity and the defender has at least 25% physical cover; this applies the printed +2.

SERVERTorch-to-Crown SOURCEDiogenes187/Torch-to-Crown
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/torch-to-crown/saving-throw.md

What saving_throw does on Torch-to-Crown

AI agents use saving_throw 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 saving_throw is rated Medium

An AI agent can call saving_throw 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.

Questions about saving_throw

What does the saving_throw tool do? +

Roll a saving throw for a combatant by category name or index. Set shield_frontal only for an effect from in front of a Shielded defender. Set dexterity_cover only when the save involves Dexterity and the defender has at least 25% physical cover; this applies the printed +2. 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.

How do I enforce a policy on saving_throw? +

Register the Torch-to-Crown MCP server in PolicyLayer and add a rule for saving_throw: 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.

What risk level is saving_throw? +

saving_throw is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit saving_throw? +

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

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

saving_throw 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.

More on Torch-to-Crown, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Torch-to-Crown's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.