check_product_now
تحديد منتج ليتم فحصه في دورة الـWorker القادمة.
This record as markdown: /tools/deal-watcher-ai-agent/check-product-now.md
What check_product_now does on Deal Watcher Ai Agent
AI agents invoke check_product_now to trigger actions in Deal Watcher Ai Agent. 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.
Why check_product_now is rated High
The tool schedules or triggers a product check in the next worker cycle, which constitutes executing an external operation (worker process). It doesn't merely read data passively — it actively triggers a background process. No financial, destructive, or write semantics are evident, but the execution of an external worker cycle qualifies as Execute.
From the tool's definition تحديد منتج ليتم فحصه في دورة الـWorker القادمة — 'checked in the next Worker cycle' implies triggering an external worker/process execution
Attacks that exploit this kind of access
The rule that runs check_product_now safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Deal Watcher Ai Agent, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For check_product_now, this is the rule to start with:
check_product_now 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Deal Watcher Ai Agent, apply this rule, and every check_product_now call is checked against it from then on.
Questions about check_product_now
تحديد منتج ليتم فحصه في دورة الـWorker القادمة. It is categorised as a Execute tool in the Deal Watcher Ai Agent MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Deal Watcher Ai Agent MCP server in PolicyLayer and add a rule for check_product_now: 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 Deal Watcher Ai Agent. Nothing to install.
check_product_now 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 check_product_now 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 check_product_now. 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.
check_product_now is provided by the Deal Watcher Ai Agent MCP server (s2leh/deal-watcher-ai-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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