AI agents use update_task_list to create or update resources in VaultAssist — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your VaultAssist environment.
This tool modifies task list data reversibly through Google Tasks. While it changes user data (medium severity due to potential for unintended task modifications affecting workflows), it does not delete data (not Destructive), execute arbitrary code (not Execute), involve financial transactions (not Financial), or merely retrieve information (not Read).
From the tool's definition Tool name 'update_task_list' and description 'Update an existing task list' indicate modification of existing data without deletion or financial impact.
Documented attack patterns abuse exactly the kind of access update_task_list gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and VaultAssist, and nothing reaches the server without passing your rules. This is the rule we recommend for update_task_list:
{
"version": "1",
"default": "deny",
"tools": {
"update_task_list": {
"limits": [
{
"counter": "update_task_list_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update_task_list 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 an existing task list. It is categorised as a Write tool in the VaultAssist MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the VaultAssist MCP server in PolicyLayer and add a rule for update_task_list: 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 VaultAssist. Nothing to install.
update_task_list 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_task_list 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_task_list. 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_task_list is provided by the VaultAssist MCP server (3xcaffeine/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from VaultAssist, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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79 VaultAssist tools catalogued and risk-classified — across an index of 43,000+ MCP servers.