Add new tasks to an existing request. This allows extending a request with additional tasks.\n\n
AI agents use add_tasks_to_request to create or update resources in TaskFlow MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TaskFlow MCP environment.
An AI agent can call add_tasks_to_request faster than any human can review — one bad instruction and it creates or modifies resources in TaskFlow MCP by the hundred, each call as confident as the last.
Documented attack patterns abuse exactly the kind of access add_tasks_to_request gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and TaskFlow MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for add_tasks_to_request:
{
"version": "1",
"default": "deny",
"tools": {
"add_tasks_to_request": {
"limits": [
{
"counter": "add_tasks_to_request_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}add_tasks_to_request 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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Add new tasks to an existing request. This allows extending a request with additional tasks.\n\n. It is categorised as a Write tool in the TaskFlow MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the TaskFlow MCP server in PolicyLayer and add a rule for add_tasks_to_request: 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 TaskFlow MCP. Nothing to install.
add_tasks_to_request 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 add_tasks_to_request 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 add_tasks_to_request. 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.
add_tasks_to_request is provided by the TaskFlow MCP server (pinkpixel-dev/taskflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 23 TaskFlow MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
23 TaskFlow MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.