Execute a copilot action: generate report, redistribute budget, rotate creatives, diagnose campaigns, etc.
AI agents invoke maasy_execute_action to trigger actions in Maasy — AI Marketing Copilot. 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.
The tool directly executes arbitrary copilot actions rather than merely retrieving or modifying data through a fixed schema. 'Redistribute budget' crosses into financial territory (high severity), but the tool's primary risk is as an Execute category because it triggers external operations whose effects are contingent on user-supplied action parameters.
From the tool's definition Tool description states 'Execute a copilot action' with examples including 'redistribute budget' and 'rotate creatives' — these are external operations with side effects that depend on the specific action argument provided.
Attacks that exploit this kind of access
Execute a copilot action: generate report, redistribute budget, rotate creatives, diagnose campaigns, etc. It is categorised as a Execute tool in the Maasy — AI Marketing Copilot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Maasy — AI Marketing Copilot MCP server in PolicyLayer and add a rule for maasy_execute_action: 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 Maasy — AI Marketing Copilot. Nothing to install.
maasy_execute_action 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 maasy_execute_action 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 maasy_execute_action. 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.
maasy_execute_action is provided by the Maasy — AI Marketing Copilot MCP server (@maasy-ai/mcp-server). 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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