This record as markdown: /tools/tolpo/plug-rules.md
What plug_rules does on Tolpo
AI agents use plug_rules to create or update resources in Tolpo, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tolpo environment.
Why plug_rules is rated Medium
An AI agent can call plug_rules faster than any human can review: one bad instruction and it creates or modifies resources in Tolpo by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs plug_rules safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tolpo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For plug_rules, this is the rule to start with:
plug_rules 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 Tolpo, apply this rule, and every plug_rules call is checked against it from then on.
Questions about plug_rules
plug_rules is a write tool on the Tolpo MCP server. It is categorised as a Write tool in the Tolpo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Tolpo MCP server in PolicyLayer and add a rule for plug_rules: 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 Tolpo. Nothing to install.
plug_rules 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 plug_rules 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 plug_rules. 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.
plug_rules is provided by the Tolpo MCP server (signerless/tolpo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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