create_action_plan
AI agents use create_action_plan to create or update resources in CBT Agent Helper — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CBT Agent Helper environment.
An AI agent can call create_action_plan faster than any human can review — one bad instruction and it creates or modifies resources in CBT Agent Helper by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
create_action_plan. It is categorised as a Write tool in the CBT Agent Helper MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CBT Agent Helper MCP server in PolicyLayer and add a rule for create_action_plan: 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 CBT Agent Helper. Nothing to install.
create_action_plan 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 create_action_plan 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 create_action_plan. 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.
create_action_plan is provided by the CBT Agent Helper MCP server (sundai-club/cbt-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.