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Generate shareable interview link

generate_interview_url
Destructive

[Interviews] Generate a signed public interview URL/token.

Generates a public, token-signed URL for an existing interview, profile, or result. The required id fields depend on type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesWhich kind of signed URL to generate.
hide_menuNoPass the string 'false' to show the navigation menu; any other value hides it (default).
merchant_idNoOverride merchant id (admin / sub-merchant only).
interview_idNoInterview or position id. Required for interview-for-profile and interview-results-for-position.
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.
interview_result_idNoInterview result id. Required for interview-result-candidate and interview-result-talent-seeker.
interview_profile_idNoCandidate profile id. Required for interview-for-profile and results-for-profile.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesThe signed 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 / 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"
      +}
  3. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, openWorldHint=true, and non-idempotency, so the safety profile is covered structurally. The description adds useful context that the output is a public, token-signed link (i.e. the URL itself grants access without auth), but it does not explain why the operation is flagged destructive, whether tokens expire or are revocable, or whether repeat calls mint new tokens.

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

Conciseness5/5

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

Two sentences, no filler, with the core action (signed public URL/token) front-loaded ahead of the conditional-id caveat. Every clause earns its place.

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 an output schema present, return values need no explanation, and the cross-parameter conditionality is stated. The remaining gap is token lifecycle behavior, which matters for a security-sensitive share link but is not strictly required to make the call correctly.

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% and each id parameter already documents which `type` values require it, so the schema carries the load. The description's only addition is the general conditional rule, which is a useful summary but not new semantics.

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?

Specific verb (generate) plus resource (a signed public interview URL/token) scoped to an existing interview, profile, or result. It is easy to separate from siblings like create_interview or get_interview_definition, which produce different artifacts. It stops just short of 5 because it does not explicitly state how it differs from any named sibling.

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?

The description implies the usage condition with 'The required id fields depend on `type`', routing the caller to the enum, but it never states when to use this tool versus alternatives or what preconditions must hold (e.g. the interview must already exist). Usage is inferable rather than explained.

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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