This record as markdown: /tools/hybridlabor-api-aos/apply-grade-from-drx.md
What apply_grade_from_drx does on Aos
AI agents use apply_grade_from_drx 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 apply_grade_from_drx is rated Medium
Tool name suggests applying grades/settings to digital assets; likely modifies data reversibly based on sibling tools pattern.
From the tool's definition uninformative description
Attacks that exploit this kind of access
The rule that runs apply_grade_from_drx 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 apply_grade_from_drx, this is the rule to start with:
apply_grade_from_drx 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 apply_grade_from_drx call is checked against it from then on.
Questions about apply_grade_from_drx
apply_grade_from_drx is a write tool on the Aos MCP server. 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 apply_grade_from_drx: 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.
apply_grade_from_drx 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 apply_grade_from_drx 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 apply_grade_from_drx. 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.
apply_grade_from_drx 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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