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manage_interview

Назначить кандидату интервью и управлять им. action=propose — предложить слоты (нужны companyName, proposedSlots ISO-8601 UTC, channel, interviewType, recruiterContact); action=reschedule — заменить слоты (нужны conversationId, proposedSlots); action=cancel — отозвать приглашение (нужен conversationId). / Propose, reschedule or cancel an interview with the candidate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoЗаметки: что обсуждаем, кто на звонке (propose, опц.)
actionYesДействие: propose | reschedule | cancel
reasonNoПричина отмены (cancel, опц.)
channelNoКанал связи: Zoom, Google Meet, Phone, ... (propose)
candidateNoSlug кандидата. В личном режиме не обязательно: отправьте null или не передавайте параметр.
companyNameNoНазвание компании (propose)
interviewTypeNoТип интервью: intro, technical, cultural, final (propose)
proposedSlotsNo1-5 слотов в ISO-8601 UTC, напр. ['2026-07-17T15:00:00Z'] (propose/reschedule)
conversationIdNoconversationId треда интервью из message_candidate (reschedule/cancel)
durationMinutesNoДлительность в минутах (propose/reschedule, опц.)
recruiterContactNoКонтакт рекрутёра для подтверждения (propose)

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does state meaningful side effects: propose offers slots, reschedule replaces slots, and cancel revokes an invitation. However, it does not disclose permissions, persistence effects, notifications, or what happens after a successful action.

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?

The description is compact, well-organized around action= segments, and front-loaded with the core purpose. The bilingual summary in English is slightly redundant with the Russian text but does not significantly hurt readability.

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 an 11-parameter tool with three distinct action modes and no output schema, the description provides sufficient high-level routing and conditional parameter requirements. Combined with the rich 100% schema descriptions, an agent can construct a valid call, though it lacks clarification around output behavior or error cases.

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 100%, so the baseline is 3. The description adds value by mapping each action to the required parameter set (e.g., reschedule needs conversationId and proposedSlots; cancel needs conversationId) and by specifying the ISO-8601 UTC format for slots, which is not fully captured in every parameter schema description.

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

Purpose5/5

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

The description states a precise operation on a specific resource: propose, reschedule, or cancel an interview with the candidate. It lists the three action modes explicitly, which makes the tool clearly distinguishable from siblings like message_candidate or send_vacancy.

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

Usage Guidelines2/5

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

The description explains what each action does and which parameters are needed, but it gives no explicit guidance on when to prefer this tool over alternatives or when not to use it. Sibling tools are not referenced, and no exclusion conditions are provided.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct candidate resource or workflow step: profile, resume, conditions, contacts, FAQ, references, interview, assessment, vacancy matching, and messaging are clearly separated. Even similar get_* tools are differentiated by description, and ask_about_experience is explicitly a targeted query rather than a full document.

Naming Consistency4/5

Most tools follow a clear imperative get_/send_/manage_/match_/message_ pattern, making the set predictable. The exceptions are 'assessment' and 'recruiter_context', which are noun-only names and break the verb-led convention, though the lowercase snake_case style is consistent throughout.

Tool Count5/5

Thirteen tools is well within the ideal range for a recruiting-focused server. Each tool covers a meaningful step in the candidate engagement workflow, from initial context and profile retrieval to vacancy sending, matching, interviewing, and assessment, with no obvious bloat.

Completeness4/5

The core candidate lifecycle is well covered: viewing candidate information, contacting them, sending vacancies, matching against job descriptions, proposing interviews, and managing assessments. Minor gaps exist around post-assessment progression, explicit offer/rejection handling, and broader pipeline or status management, but agents can mostly work around these.

Resources