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list_recruiting_vacancies

Read-onlyIdempotent

List recruiting vacancies with filters for archived, name, type, company, and limit. Each vacancy includes both raw ID and derived VCN identifier.

Instructions

List Recruiting vacancies as stable refs. Supports includeArchived, name query, type ID/name, company organization ID/name, and limit. Vacancy refs include both raw id and derived VCN- identifier.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includeArchivedNoInclude archived vacancies (default: false).
queryNoa string that will be trimmed
typeNoa string that will be trimmed
companyNoa string that will be trimmed
limitNoMaximum number of vacancies to return (default: 50).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesThe successful tool result. The same value is also serialized as JSON in the text content for clients that do not read structuredContent.
warningsNoOptional agent-visible warnings about degraded result fidelity. Omitted when the server returned the documented happy-path payload.
Behavior4/5

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

Annotations already indicate read-only, non-destructive, idempotent behavior. The description adds value by explaining the return format (stable refs with VCN identifier), which helps the agent understand output structure. No contradictions.

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?

Three short sentences: purpose, filters, return info. Front-loaded and concise with no superfluous content.

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 output schema present, description covers purpose, filters, and return format adequately. Missing explicit mention of default limit (50) or pagination, but overall sufficient for a list tool with strong annotations.

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%, baseline 3. The description clarifies the purpose of each parameter (e.g., 'name query' for string, 'type ID/name', 'company organization ID/name') beyond the generic 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 tool's action ('List Recruiting vacancies') and specifies it returns 'stable refs' with a unique VCN identifier. It also lists supported filters, distinguishing it from other list tools like list_recruiting_candidates or list_recruiting_skills.

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 does not explicitly state when to use this tool versus alternatives like get_recruiting_vacancy or list_recruiting_vacancy_statuses. Usage context is implied but not articulated.

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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