light_source
Light a torch (6 turns), a lantern on a flask of oil (24), a candle (12), or another source. Advancing the dungeon clock burns them down.
This record as markdown: /tools/torch-to-crown/light-source.md
What light_source does on Torch-to-Crown
AI agents use light_source 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 light_source is rated Medium
An AI agent can call light_source 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 light_source 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 light_source, this is the rule to start with:
light_source 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 light_source call is checked against it from then on.
Questions about light_source
Light a torch (6 turns), a lantern on a flask of oil (24), a candle (12), or another source. Advancing the dungeon clock burns them down. 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 light_source: 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.
light_source 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 light_source 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 light_source. 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.
light_source 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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