hires_update_notification_message
Update a scheduled notification email before it is sent. Change subject, body, and optionally reschedule the send time. Only scheduled (not yet sent) messages can be updated.
This record as markdown: /tools/com-100hires-100hires/hires-update-notification-message.md
What hires_update_notification_message does on 100Hires - AI ATS & Recruitment Software
AI agents use hires_update_notification_message to create or update resources in 100Hires - AI ATS & Recruitment Software, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 100Hires - AI ATS & Recruitment Software environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | integer | Yes | Notification email message ID. |
body | string | Yes | Email body as HTML. |
subject | string | Yes | Email subject line. |
scheduled_at | object | — | Unix timestamp (seconds) to reschedule send time. If omitted, the existing schedule is preserved. |
Parameters from the server's own tool schema.
Why hires_update_notification_message is rated Medium
This tool modifies existing notification messages (subject, body, send time) in a reversible manner. It does not delete data or trigger irreversible actions, and does not involve financial transactions.
From the tool's definition 'Update a scheduled notification email before it is sent. Change subject, body, and optionally reschedule the send time.'
Risk signalsAccepts raw HTML/template content (body)
Attacks that exploit this kind of access
The rule that runs hires_update_notification_message safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 100Hires - AI ATS & Recruitment Software, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hires_update_notification_message, this is the rule to start with:
hires_update_notification_message stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 100Hires - AI ATS & Recruitment Software, apply this rule, and every hires_update_notification_message call is checked against it from then on.
Questions about hires_update_notification_message
Update a scheduled notification email before it is sent. Change subject, body, and optionally reschedule the send time. Only scheduled (not yet sent) messages can be updated. It is categorised as a Write tool in the 100Hires - AI ATS & Recruitment Software MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
hires_update_notification_message accepts 4 parameters: id, body, subject, scheduled_at. Required: id, body, subject. The full parameter table on this page comes from the server's own tool schema.
Register the 100Hires - AI ATS & Recruitment Software MCP server in PolicyLayer and add a rule for hires_update_notification_message: 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 100Hires - AI ATS & Recruitment Software. Nothing to install.
hires_update_notification_message is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the hires_update_notification_message 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 hires_update_notification_message. 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.
hires_update_notification_message is provided by the 100Hires - AI ATS & Recruitment Software MCP server (https://mcp.100hires.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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