AI agents use update_template to create or update resources in myAI Memory Sync — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your myAI Memory Sync environment.
The tool's name strongly suggests it modifies template data reversibly within the preference/configuration sync system. While the description is empty (lowering confidence slightly), the naming pattern and context of sibling tools (particularly 'update_section' and 'create_preset') establish this as a Write operation.
From the tool's definition Tool name 'update_template' indicates modification of stored data (template configuration). Related tools include 'create_preset', 'load_preset', 'remember', and 'update_section', all of which suggest data creation and modification workflows within a…
Documented attack patterns abuse exactly the kind of access update_template gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and myAI Memory Sync, and nothing reaches the server without passing your rules. This is the rule we recommend for update_template:
{
"version": "1",
"default": "deny",
"tools": {
"update_template": {
"limits": [
{
"counter": "update_template_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_template 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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update_template. It is categorised as a Write tool in the myAI Memory Sync MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the myAI Memory Sync MCP server in PolicyLayer and add a rule for update_template: 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 myAI Memory Sync. Nothing to install.
update_template 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 update_template 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 update_template. 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.
update_template is provided by the myAI Memory Sync MCP server (jktfe/myaimemory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from myAI Memory Sync, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 myAI Memory Sync tools catalogued and risk-classified — across an index of 43,000+ MCP servers.