AI agents use updateTask to create or update resources in Ava — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ava environment.
updateTask fits Write category as it updates task data (progress summaries) that can be reversed or corrected. Confidence is slightly lowered (0.82) because the description is not in English and only partially clarifies the tool's exact scope, but the name and sibling context strongly indicate it modifies existing task records rather than deleting or executing arbitrary operations.
From the tool's definition Tool description in Japanese indicates this is for sharing progress summaries. Context shows 'updateTask' modifies task state alongside sibling tools like 'completeTask', 'pauseTask', 'startTask' which are task state modifiers.
Documented attack patterns abuse exactly the kind of access updateTask gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ava, and nothing reaches the server without passing your rules. This is the rule we recommend for updateTask:
{
"version": "1",
"default": "deny",
"tools": {
"updateTask": {
"limits": [
{
"counter": "updatetask_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}updateTask 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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進捗の抽象的サマリを共有するための入力仕様。. It is categorised as a Write tool in the Ava MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ava MCP server in PolicyLayer and add a rule for updateTask: 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 Ava. Nothing to install.
updateTask 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 updateTask 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 updateTask. 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.
updateTask is provided by the Ava MCP server (yutakobayashidev/ava). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ava, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 Ava tools catalogued and risk-classified — across an index of 43,000+ MCP servers.