AI agents use sync_context to create or update resources in Aurai Advisor (上级顾问 MCP) — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Aurai Advisor (上级顾问 MCP) environment.
The tool name 'sync_context' combined with the server's description of 'context synchronization' suggests this tool writes/updates shared context or session state between the local AI and remote providers. Since the description is empty, confidence is low, but 'sync' typically implies a write/update operation. Severity is medium as misuse could corrupt session context or leak sensitive conversation data.
From the tool's definition Tool name 'sync_context' and server description mentions 'context synchronization' and 'session history tracking'
Documented attack patterns abuse exactly the kind of access sync_context gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Aurai Advisor (上级顾问 MCP), and nothing reaches the server without passing your rules. This is the rule we recommend for sync_context:
{
"version": "1",
"default": "deny",
"tools": {
"sync_context": {
"limits": [
{
"counter": "sync_context_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}sync_context 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.
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sync_context. It is categorised as a Write tool in the Aurai Advisor (上级顾问 MCP) MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Aurai Advisor (上级顾问 MCP) MCP server in PolicyLayer and add a rule for sync_context: 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 Aurai Advisor (上级顾问 MCP). Nothing to install.
sync_context 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 sync_context 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 sync_context. 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.
sync_context is provided by the Aurai Advisor (上级顾问 MCP) MCP server (lzmw/mcp-aurai-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Aurai Advisor (上级顾问 MCP), add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 Aurai Advisor (上级顾问 MCP) tools catalogued and risk-classified — across an index of 43,000+ MCP servers.