Mark a task as finished (v2 API).
AI agents use finishTaskV2 to create or update resources in Lofty MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Lofty MCP Server environment.
This tool modifies the state of a task by marking it as finished. This is a reversible write operation (the task could potentially be re-opened), not a destructive deletion. The blast radius is medium since incorrectly finishing tasks in a CRM could disrupt workflows and lead tracking.
From the tool's definition Mark a task as finished (v2 API)
Attacks that exploit this kind of access
Mark a task as finished (v2 API). It is categorised as a Write tool in the Lofty MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Lofty MCP Server MCP server in PolicyLayer and add a rule for finishTaskV2: 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 Lofty MCP Server. Nothing to install.
finishTaskV2 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 finishTaskV2 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 finishTaskV2. 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.
finishTaskV2 is provided by the Lofty MCP Server MCP server (nerdsnipe-inc/lofty-mcp). 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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