Cancel a running task. taskId comes from the run_* response or show_tasks.
AI agents invoke cancel_task to trigger actions in Anaplan MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Cancelling a running task is an active operation that interrupts/terminates an ongoing process. While it doesn't delete data, it executes an external control action whose effects (stopping an import, export, or other bulk operation mid-run) can have significant side effects. It is not purely Read or Write; it's an execution-level intervention.
From the tool's definition Cancel a running task — this triggers an external operation (task cancellation) that affects a running process in Anaplan
Documented attack patterns abuse exactly the kind of access cancel_task gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Anaplan MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for cancel_task:
{
"version": "1",
"default": "deny",
"tools": {
"cancel_task": {
"limits": [
{
"counter": "cancel_task_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}cancel_task stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Cancel a running task. taskId comes from the run_* response or show_tasks. It is categorised as a Execute tool in the Anaplan MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Anaplan MCP server in PolicyLayer and add a rule for cancel_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 Anaplan MCP. Nothing to install.
cancel_task is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the cancel_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 cancel_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.
cancel_task is provided by the Anaplan MCP server (larasrinath/anaplan-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Anaplan MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
70 Anaplan MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.