This record as markdown: /tools/hybridlabor-api-aos/burnin-preset.md
What burnin_preset does on Aos
AI agents use burnin_preset to create or update resources in Aos, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Aos environment.
Why burnin_preset is rated Medium
Tool manages presets (reversible configuration changes) without deletion or code execution capabilities.
From the tool's definition Manage data burn-in presets. Creates or modifies configuration data.
Attacks that exploit this kind of access
The rule that runs burnin_preset safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For burnin_preset, this is the rule to start with:
burnin_preset 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 Aos, apply this rule, and every burnin_preset call is checked against it from then on.
Questions about burnin_preset
Manage data burn-in presets. It is categorised as a Write tool in the Aos MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Aos MCP server in PolicyLayer and add a rule for burnin_preset: 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 Aos. Nothing to install.
burnin_preset 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 burnin_preset 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 burnin_preset. 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.
burnin_preset is provided by the Aos MCP server (@hybridlabor-api/aos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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