react_to_notification
A read tool on the 1point3acres Toolkit MCP server.
This record as markdown: /tools/1point3acres-toolkit/react-to-notification.md
What react_to_notification does on 1point3acres Toolkit
AI agents call react_to_notification to retrieve information from 1point3acres Toolkit without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why react_to_notification is rated Low
Even though react_to_notification only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs react_to_notification safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 1point3acres Toolkit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For react_to_notification, this is the rule to start with:
react_to_notification is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 1point3acres Toolkit, apply this rule, and every react_to_notification call is checked against it from then on.
Questions about react_to_notification
react_to_notification is a read tool on the 1point3acres Toolkit MCP server. It is categorised as a Read tool in the 1point3acres Toolkit MCP Server, which means it retrieves data without modifying state.
Register the 1point3acres Toolkit MCP server in PolicyLayer and add a rule for react_to_notification: 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 1point3acres Toolkit. Nothing to install.
react_to_notification is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the react_to_notification 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 react_to_notification. 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.
react_to_notification is provided by the 1point3acres Toolkit MCP server (vivian-labs/1point3acres-toolkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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