chaoxing_recall_notice
Preview or confirm recalling a sent course notice.
This record as markdown: /tools/chaoxing-agent/chaoxing-recall-notice.md
What chaoxing_recall_notice does on Chaoxing Agent
AI agents use chaoxing_recall_notice to create or update resources in Chaoxing Agent, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Chaoxing Agent environment.
Why chaoxing_recall_notice is rated Medium
An AI agent can call chaoxing_recall_notice faster than any human can review: one bad instruction and it creates or modifies resources in Chaoxing Agent by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs chaoxing_recall_notice safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Chaoxing Agent, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For chaoxing_recall_notice, this is the rule to start with:
chaoxing_recall_notice 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 Chaoxing Agent, apply this rule, and every chaoxing_recall_notice call is checked against it from then on.
Questions about chaoxing_recall_notice
Preview or confirm recalling a sent course notice. It is categorised as a Write tool in the Chaoxing Agent MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Chaoxing Agent MCP server in PolicyLayer and add a rule for chaoxing_recall_notice: 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 Chaoxing Agent. Nothing to install.
chaoxing_recall_notice 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 chaoxing_recall_notice 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 chaoxing_recall_notice. 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.
chaoxing_recall_notice is provided by the Chaoxing Agent MCP server (Cr-GH0/chaoxing-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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