hires_send_candidate_message
Schedule an email to a candidate; without scheduled_at it is sent 15 minutes after creation.
This record as markdown: /tools/com-100hires-100hires/hires-send-candidate-message.md
What hires_send_candidate_message does on 100Hires - AI ATS & Recruitment Software
AI agents use hires_send_candidate_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 |
|---|---|---|---|
cc | array | — | |
id | string | number | Yes | Candidate id or alias |
to | array | Yes | Recipient emails |
bcc | array | — | |
body | string | Yes | HTML |
subject | string | Yes | |
scheduled_at | number | null | — | Unix seconds; default: now + 15 min |
application_id | number | null | — | |
from_account_id | number | null | — | Mail account id; default: the API key owner's default account |
reply_to_email_id | number | null | — | Mailbox message id to reply to |
send_in_new_thread | boolean | — | Start a new thread instead of replying |
Parameters from the server's own tool schema.
Why hires_send_candidate_message is rated Medium
An AI agent can call hires_send_candidate_message faster than any human can review: one bad instruction and it creates or modifies resources in 100Hires - AI ATS & Recruitment Software by the hundred, each call as confident as the last.
Risk signalsAccepts raw HTML/template content (body) · High parameter count (11 properties)
Attacks that exploit this kind of access
The rule that runs hires_send_candidate_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_send_candidate_message, this is the rule to start with:
hires_send_candidate_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_send_candidate_message call is checked against it from then on.
Questions about hires_send_candidate_message
Schedule an email to a candidate; without scheduled_at it is sent 15 minutes after creation. 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_send_candidate_message accepts 11 parameters: cc, id, to, bcc, body, subject, scheduled_at, application_id, from_account_id, reply_to_email_id, send_in_new_thread. Required: id, to, 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_send_candidate_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_send_candidate_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_send_candidate_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_send_candidate_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_send_candidate_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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