Apply a wafle ads recommendation by id — runs the underlying writer action (pause campaign, raise budget, etc.) and marks the recommendation applied. Idempotent: re-applying returns the previous result.\n\n
AI agents invoke wafle_ads_recommendation_apply to trigger actions in wafle MCP server. 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.
This tool executes underlying actions on ad campaigns (pausing campaigns, changing budgets, etc.) based on a recommendation ID. It triggers real operational changes in ad campaigns, which can have significant financial consequences (budget changes, pausing revenue-generating campaigns).
From the tool's definition Apply a wafle ads recommendation by id — runs the underlying writer action (pause campaign, raise budget, etc.) and marks the recommendation applied
Attacks that exploit this kind of access
Apply a wafle ads recommendation by id — runs the underlying writer action (pause campaign, raise budget, etc.) and marks the recommendation applied. Idempotent: re-applying returns the previous result.\n\n. It is categorised as a Execute tool in the wafle MCP server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the wafle MCP server MCP server in PolicyLayer and add a rule for wafle_ads_recommendation_apply: 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 wafle MCP server. Nothing to install.
wafle_ads_recommendation_apply 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 wafle_ads_recommendation_apply 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 wafle_ads_recommendation_apply. 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.
wafle_ads_recommendation_apply is provided by the wafle MCP server MCP server (the33warehouse-tech/wafle-mcp). 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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