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Gaivoronsky

huntflow-mcp

by Gaivoronsky

attach_applicant_to_vacancy

Attach an applicant to a vacancy and place them on a pipeline stage, with support for rejection reasons or hiring details such as quota and employment date.

Instructions

Attach an applicant to a vacancy and place them on a funnel stage (WRITE operation). vacancy + status (stage ID from list_stages) are required. For rejection — rejection_reason; for hiring — fill_quota + employment_date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filesNoIDs of attached files
statusYesPipeline stage ID from list_stages (required)
commentNoComment for the transition
vacancyYesVacancy ID (required)
account_idYesHuntFlow account ID
fill_quotaNoQuota ID — for the hiring stage
applicant_idYesApplicant ID (from create_applicant → id)
employment_dateNoEmployment start date YYYY-MM-DD
rejection_reasonNoRejection reason ID (list_rejection_reasons) — for the rejection stage
Behavior3/5

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

With no annotations, the description carries full burden. It discloses that this is a WRITE operation and specifies conditionally required fields, but does not mention potential side effects, permission requirements, or error behavior. Adequate but not fully transparent.

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, front-loaded with the action, no wasted words. Efficient and to the point.

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

Completeness3/5

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

With 9 parameters, no output schema, and no annotations, the description covers the main use cases but does not explain parameters like files and comment. The agent may need additional context for complete understanding.

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 baseline is 3. The description adds value by grouping parameters by scenario (rejection vs hiring) and referencing list_stages, which provides context beyond the schema descriptions.

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 clearly states the action: attach an applicant to a vacancy and place them on a funnel stage. It uses specific verb+resource and distinguishes from sibling tools by explicitly marking as WRITE operation and mentioning required parameters.

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

Usage Guidelines4/5

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

The description provides clear context for when to use the tool: it lists required parameters (vacancy, status) and conditional parameters for rejection and hiring scenarios. However, it does not explicitly state when not to use this tool or list alternatives among siblings.

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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