cast_find_familiar
Spend a prepared Find Familiar and 100 gp of incense and powders, roll the exact SQL level-dependent d100 table and 2d12-hour casting time, and durably record either no response, a normal familiar, or the alignment-specific special familiar and its opening save. A campaign year label enforces the...
This record as markdown: /tools/torch-to-crown/cast-find-familiar.md
What cast_find_familiar does on Torch-to-Crown
AI agents call cast_find_familiar to retrieve information from Torch-to-Crown without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why cast_find_familiar is rated Low
Even though cast_find_familiar only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs cast_find_familiar 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 cast_find_familiar, this is the rule to start with:
cast_find_familiar is read-only, so it stays allowed. 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 cast_find_familiar call is checked against it from then on.
Questions about cast_find_familiar
Spend a prepared Find Familiar and 100 gp of incense and powders, roll the exact SQL level-dependent d100 table and 2d12-hour casting time, and durably record either no response, a normal familiar, or the alignment-specific special familiar and its opening save. A campaign year label enforces the printed once-per-year limit without inventing a calendar. It is categorised as a Read tool in the Torch-to-Crown MCP Server, which means it retrieves data without modifying state.
Register the Torch-to-Crown MCP server in PolicyLayer and add a rule for cast_find_familiar: 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.
cast_find_familiar is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the cast_find_familiar 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 cast_find_familiar. 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.
cast_find_familiar 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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