Mark a running task as failed. This is terminal; retries happen via lease expiry, not failTask. Pass clientToken to make retries idempotent.
AI agents use fail_task to create or update resources in State Trace — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your State Trace environment.
This tool modifies the state of a task by marking it as failed, which is a write operation that changes task status. While described as 'terminal,' the system has retry mechanisms via lease expiry, meaning the effect is not fully irreversible at the system level. However, misuse could prematurely terminate valid tasks, causing disruption to workflows.
From the tool's definition Mark a running task as failed. This is terminal; retries happen via lease expiry, not failTask.
Attacks that exploit this kind of access
Mark a running task as failed. This is terminal; retries happen via lease expiry, not failTask. Pass clientToken to make retries idempotent. It is categorised as a Write tool in the State Trace MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the State Trace MCP server in PolicyLayer and add a rule for fail_task: 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 State Trace. Nothing to install.
fail_task 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 fail_task 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 fail_task. 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.
fail_task is provided by the State Trace MCP server (agent-pattern-labs/state-trace). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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