Campus Jobs Radar 校招雷达

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按条件搜索国央企校招岗位/招聘项目。

参数： city: 工作地点关键词（如 "深圳"、"广东"；为空查全部）。"雄安"会自动带上容城/安新/雄县。 major: 专业关键词。先匹配"专业要求原文"（major_raw）；原文缺失时在公告正文里找，所以能覆盖那些只有公告、没拆出专业字段的岗位（如 "计算机"、"会计"） graduate_year: 届别，如 "2027"。严格匹配公告标注的届别——未标注届别的记录不会被返回；想广撒网就别传这个参数。 keywords: 对岗位名/单位名做包含匹配 kind: "岗位" | "招聘项目" | "宣讲会"（为空查前两类） org_nature: 企业性质筛选。默认 "国央企"（=央国企+地方国企+银行）；传 "全部" 看所有（含顺带覆盖的民企/事业单位/未知长尾）；也可精确传：央国企/地方国企/银行/事业单位/民企/外企/未知 employment_type: 批次筛选："校招" | "实习" | "提前批"（为空查全部） only_open: 只返回未截止的（默认 True，按北京日期判断） limit/offset: 分页（默认每页 20，上限 50）

返回字段含截止日、剩余天数、截止状态、专业要求原文、企业性质、原公告链接、数据复核日期。未写明的条件留空（null），本服务不猜测；重大决策请打开 source_url 核对原文。

Input Schema

Name	Required	Default
`city`	No
`kind`	No
`limit`	No
`major`	No
`offset`	No
`keywords`	No
`only_open`	No
`org_nature`	No	国央企
`graduate_year`	No
`employment_type`	No

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 21, 2026

addedInput schema / properties / employment_type

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}

Changed1 schema field changedSep 21, 2026

addedInput schema / properties / org_nature

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": "国央企"
+}

First observedSep 20, 2026

TDQS

A4.3/5.0

Behavior4/5

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

无注解，描述补充了重要行为：only_open 默认 True 按北京日期判断、graduate_year 严格匹配且未标注届别不返回、kind 为空查前两类、org_nature 默认国央企及全部含义、分页上限 50。还说明了返回字段（截止日、剩余天数、来源链接等），透明度较高，但未提及速率限制或权限需求。

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?

采用参数列表结构清晰，关键约束（默认值、枚举）前置。内容较长但每句都有实质信息，无明显冗余。

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

Completeness5/5

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

有输出 schema 但描述仍概括了返回字段（截止日、剩余天数、状态、专业原文、企业性质、公告链接、复核日期），并提示未明字段为 null、需核对原文。对于搜索类工具，参数行为、返回概览、决策提示均已覆盖，完整度高。

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

Parameters5/5

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

schema 描述覆盖率为 0%，描述对全部 10 个参数逐一解释，包括枚举取值、默认值、特殊逻辑（如“雄安”自动带容城/安新/雄县、major 匹配原文与公告正文、graduate_year 严格匹配）。补偿充分，远超 schema 提供的信息。

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?

明确说明了动词（搜索）和资源（国央企校招岗位/招聘项目），并限定了目标人群范围。与 get_job_detail（详情）、list_deadlines（截止日）、whats_new（新品）等兄弟工具区分明显，但未直接点名替代工具。

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?

对关键参数给出了使用建议（如只查未截止的用 only_open，想广撒网不传 graduate_year），并提示重大决策需核对原文。但未明确说明何时应改用 get_job_detail 或 list_deadlines 等兄弟工具。

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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