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Register candidates for interview

register_users_for_interview
Destructive

[Interviews] Register users/candidates for a specific interview and return their personal interview links.

Registers (or updates) one or more candidate profiles for an interview and returns a one-time interview URL for each. Accepts a Supabase user JWT (merchant/admin) or the service key (merchant_id then required).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usersYesCandidates to register for the interview. Each gets a one-time interview URL.
is_testNoWhen true (or the string "true"), mints a test token that can take a draft/unpublished interview and flags the result as a test. For a DRAFT interview it also recompiles the definition (interview_recalc_definition) first, so the test session includes the current questions/welcome. This makes it a single-call "trigger interview test".
hide_menuNoWhen true (or the string "true"), the interview UI hides its menu (view_hm).
send_emailNoWhether to send an invitation email to each registered candidate.
hide_iframeNoWhen true (or the string "true"), the interview UI hides its iframe chrome (view_hi).
merchant_idNoMerchant id. Required when authenticating with the service key; for user tokens it is optional and only honored for admin / sub-merchant accounts.
interview_idYesInterview definition (interview_def_set) or position (position_def_set) id to register users for.
conversation_idNoPass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesThe input users, each annotated with its registration result and (on success) interview URL.
_mcp_instructionsNoServer-issued metadata for this conversation.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / conversation_id / description
      Previous value: -"Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it."New value: +"Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request."
  2. Changed2 schema fields changed
    • addedInput schema / properties / users / items / properties / phone
      Added value: +{
      +  "description": "Optional mobile number in international format (E.164, e.g. +421903123456). Enables SMS / WhatsApp invitation and reminder notifications when the interview has candidate_notification_channel set. Never overwrites a phone already stored on the candidate.",
      +  "example": "+421903123456",
      +  "type": [
      +    "string",
      +    "null"
      +  ]
      +}
    • addedOutput schema / properties / result / items / properties / phone
      Added value: +{
      +  "type": [
      +    "string",
      +    "null"
      +  ]
      +}
  3. Changed2 schema fields changed
    • addedInput schema / properties / conversation_id
      Added value: +{
      +  "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
      +  "type": "string"
      +}
    • addedOutput schema / properties / _mcp_instructions
      Added value: +{
      +  "description": "Server-issued metadata for this conversation.",
      +  "properties": {
      +    "conversation_id": {
      +      "description": "The server-issued conversation identifier.",
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  4. Changed2 schema fields changed
    • changedInput schema / properties / users / example
      Previous value: -[
      -  {
      -    "email": "jozo@jozo.sk",
      -    "external_id": "abcd",
      -    "name": "Peter Parker"
      -  },
      -  {
      -    "email": "hi@jozefbalaz.com",
      -    "name": "mr beast"
      -  }
      -]New value: +[
      +  {
      +    "email": "peter.parker@example.com",
      +    "external_id": "abcd",
      +    "name": "Peter Parker"
      +  },
      +  {
      +    "email": "mary.jane@example.com",
      +    "name": "Mary Jane Watson"
      +  }
      +]
    • changedInput schema / properties / users / items / properties / email / example
      Previous value: -"jozo@jozo.sk"New value: +"peter.parker@example.com"
  5. First observed

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, idempotentHint=false, and openWorldHint=true, so the bar is lower. The description adds useful context beyond that: it is an upsert ('Registers (or updates)'), returns one-time URLs, and discloses the two auth modes, but it does not say who is notified, whether existing profiles are overwritten, or the consequences of the destructive behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences, front-loaded with the action and outcome. Mild redundancy in the second sentence (the one-time URL was already implied by 'return their personal interview links'), but no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With a rich schema, an output schema, and safety annotations, the description needs only to frame the operation and auth modes — both of which it does. It is complete enough for an agent to call correctly, though it stops short of routing the agent away from overlapping siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents each parameter thoroughly (phone semantics, merchant_id auth conditions, conversation_id protocol). The description only restates the merchant_id/service-key rule, adding essentially nothing beyond the structured fields — the baseline 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Register users/candidates for a specific interview') plus the return value (personal interview links), so the core action is unambiguous. It does not, however, distinguish itself from the sibling 'generate_interview_url', which plausibly overlaps in the 'get a link' space.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives authentication context (Supabase user JWT vs service key, with merchant_id required for the latter), which hints at when the tool is callable, but offers no explicit when-to-use/when-not guidance relative to siblings like generate_interview_url or request_another_interview_attempt. Usage is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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