This record as markdown: /tools/tolpo/automation-settings.md
What automation_settings does on Tolpo
AI agents use automation_settings 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 automation_settings is rated Medium
An AI agent can call automation_settings 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 automation_settings 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 automation_settings, this is the rule to start with:
automation_settings 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 automation_settings call is checked against it from then on.
Questions about automation_settings
automation_settings 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 automation_settings: 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.
automation_settings 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 automation_settings 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 automation_settings. 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.
automation_settings 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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