task_update
Updates status or result for a tenant-local task. Requires team:write. It cannot execute commands, publish messages, or approve external actions.
This record as markdown: /tools/io-github-ruvnet-claude-flow/task-update.md
What task_update does on Claude Flow
AI agents use task_update to create or update resources in Claude Flow, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Claude Flow environment.
Why task_update is rated Medium
Modifies task data reversibly within tenant scope; lacks destructive or external execution capabilities.
From the tool's definition Updates status or result for a tenant-local task. Requires team:write.
Attacks that exploit this kind of access
The rule that runs task_update safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Flow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For task_update, this is the rule to start with:
task_update 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 Claude Flow, apply this rule, and every task_update call is checked against it from then on.
Questions about task_update
Updates status or result for a tenant-local task. Requires team:write. It cannot execute commands, publish messages, or approve external actions. It is categorised as a Write tool in the Claude Flow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Claude Flow MCP server in PolicyLayer and add a rule for task_update: 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 Claude Flow. Nothing to install.
task_update 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 task_update 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 task_update. 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.
task_update is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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