AI agents use complete_task to create or update resources in MCP Starter for Puch AI — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Starter for Puch AI environment.
This tool appears to modify data by changing a task's completion state, which is a reversible operation typical of Write category tools. The severity is medium because task state changes have limited blast radius—they affect workflow/scheduling but not financial systems or irreplaceable data.
From the tool's definition Tool name is 'complete_task' which suggests modifying the state of a task (marking it as complete). The sibling tools 'add_task', 'get_task', 'list_tasks', and 'remove_task' establish a task management context where 'complete_task' would reversibly update…
Documented attack patterns abuse exactly the kind of access complete_task gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Starter for Puch AI, and nothing reaches the server without passing your rules. This is the rule we recommend for complete_task:
{
"version": "1",
"default": "deny",
"tools": {
"complete_task": {
"limits": [
{
"counter": "complete_task_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}complete_task 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.
Free to start. No card required.
complete_task. It is categorised as a Write tool in the MCP Starter for Puch AI MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Starter for Puch AI MCP server in PolicyLayer and add a rule for complete_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 MCP Starter for Puch AI. Nothing to install.
complete_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 complete_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 complete_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.
complete_task is provided by the MCP Starter for Puch AI MCP server (turboml-inc/mcp-starter). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 12 MCP Starter for Puch AI tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
12 MCP Starter for Puch AI tools catalogued and risk-classified — across an index of 42,500+ MCP servers.