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100Hires - AI ATS & Recruitment Software

hires_create_interview

Schedule an interview for an application. The location is matched to an existing record or created.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
includeNoEmbed: candidate, application, job
end_timeYesUnix seconds, after start_time
locationNoFree text
start_timeYesUnix seconds
interviewer_idsYesInterviewer user ids

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed8 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedInput schema / properties / end_time / description
      Previous value: -"Interview end time as Unix timestamp (seconds, must be after start_time)."New value: +"Unix seconds, after start_time"
    • removedInput schema / properties / id / description
      Removed value: -"Application ID."
    • changedInput schema / properties / include / description
      Previous value: -"Comma-separated relations to embed: candidate, application, job."New value: +"Embed: candidate, application, job"
    • changedInput schema / properties / interviewer_ids / description
      Previous value: -"List of user IDs who will conduct the interview."New value: +"Interviewer user ids"
    • changedInput schema / properties / location / description
      Previous value: -"Location string; resolved to existing record or created automatically."New value: +"Free text"
    • changedInput schema / properties / start_time / description
      Previous value: -"Interview start time as Unix timestamp (seconds)."New value: +"Unix seconds"
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

The annotations only say the tool is not read-only and not destructive; the description adds a meaningful behavioral detail by disclosing that the location is matched to an existing record or created. That is a side effect an agent would not infer from the schema. It could still mention other effects or preconditions, but it goes beyond the structured data.

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?

The description is two short sentences with no filler. The core action is front-loaded, and the non-obvious location behavior is appended in a single concise sentence.

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?

For a six-parameter mutation tool with no output schema, the description covers the core purpose and the most non-obvious behavior. It falls slightly short of complete because it does not explicitly identify `id` as the application identifier or state prerequisites like a valid existing application.

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

Parameters4/5

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

Schema coverage is high at 83%, so most parameters are already described. The description adds real value to the location parameter, explaining that the free-text location is normalized by matching it to an existing record or creating one. It does not add much for the other parameters, but the schema already covers their meaning.

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?

The description identifies a specific verb and resource: 'schedule an interview for an application.' It clearly conveys what the tool does and distinguishes it from unrelated create siblings, though it does not explicitly differentiate itself from other interview-related endpoints such as hires_get_interview or hires_list_interviews.

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 intended use is implied: use this tool when an application needs an interview scheduled. However, it provides no explicit when-to-use/when-not-to-use guidance, no prerequisites such as 'the application must already exist,' and no mention of alternatives, so the guidance is thin.

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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