monitor_update
Update frequency, pause state, or webhook Update frequency, pause state, or webhook configuration. The change is recorded immediately in the monitor service database (scheduling authority) and the external changedetection watch is reconciled asynchronously and with bounded retries; the response m...
This record as markdown: /tools/com-replynodes-mcp/monitor-update.md
What monitor_update does on ReplyNodes
AI agents call monitor_update to retrieve information from ReplyNodes without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | string | Yes | path parameter |
body | object | Yes |
Parameters from the server's own tool schema.
Why monitor_update is rated Low
Even though monitor_update 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.
Risk signalsAccepts raw HTML/template content (body)
Attacks that exploit this kind of access
The rule that runs monitor_update safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ReplyNodes, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For monitor_update, this is the rule to start with:
monitor_update 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 ReplyNodes, apply this rule, and every monitor_update call is checked against it from then on.
Questions about monitor_update
Update frequency, pause state, or webhook Update frequency, pause state, or webhook configuration. The change is recorded immediately in the monitor service database (scheduling authority) and the external changedetection watch is reconciled asynchronously and with bounded retries; the response monitor object carries sync_state/sync_next_retry_at/sync_error_reason so a degraded engine (for example, a failed pause) is truthful and visible rather than silently dropped. HTTP: PATCH /v1/monitors/{id}. It is categorised as a Read tool in the ReplyNodes MCP Server, which means it retrieves data without modifying state.
monitor_update accepts 2 parameters: id, body. Required: id, body. The full parameter table on this page comes from the server's own tool schema.
Register the ReplyNodes MCP server in PolicyLayer and add a rule for monitor_update: 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 ReplyNodes. Nothing to install.
monitor_update 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 monitor_update 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 monitor_update. 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.
monitor_update is provided by the ReplyNodes MCP server (https://mcp.replynodes.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on ReplyNodes, and thousands of servers like it.
This server
Across the catalogue