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mingyangsun-sketch

Moka MCP Server

get_job_detail

Retrieve a single job's details, including custom fields and recruitment process information.

Instructions

获取单个职位详情(含自定义字段、招聘流程信息)。

对应 Moka 接口:GET /jobs/{orgId}/{jobId}(v1)

参数:

  • job_id:职位 ID。

  • org_id:组织标识;留空则使用 .env 中的 MOKA_ORG_ID。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes
org_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions it fetches details but does not disclose whether it is read-only, authorization requirements, rate limits, or error behavior (e.g., if job not found). This is insufficient for a complete behavioral understanding.

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 concise, consisting of a main sentence and a bulleted parameter list. It is front-loaded with the purpose and includes relevant API details. However, it could be slightly more structured (e.g., separating usage notes).

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 an output schema present, the description does not need to explain return values. It covers parameters well but lacks usage guidelines and behavioral transparency. For a simple retrieval tool, this is adequate but has clear gaps.

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 description coverage is 0%, so the description compensates by explaining the purpose of each parameter: job_id is the job ID, org_id is the org identifier with a default from .env. This adds meaningful context beyond the schema's type definitions.

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 explicitly states it retrieves a single job's details including custom fields and recruitment process info, which clearly distinguishes it from siblings like list_jobs or search_candidates. The API endpoint is also provided for reference.

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 provide explicit guidance on when to use this tool versus alternatives. It implies usage for getting full details of a specific job, but lacks exclusions or context for choosing it over other tools like get_job_custom_fields.

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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