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modify-resume-base-info

修改简历的【基本信息】数据,更新传入的字段数据

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sexNo性别。允许取值及含义:男,女
wechatNo微信号
jobNameNo当前职位名称
nowCompNo当前公司名称
birthdayNo生日,格式 yyyyMMdd
cityCodeNo当前城市名称
realNameNo真实姓名
startJobNo开始工作年份,如 2020。与 startJobMonth 要么都传要么都不传
nowMonthsNo当前月薪月数
nowSalaryNo当前月薪(元)
nameSecretNo姓名隐私配置。允许取值及含义:0-显示姓名全称,1-显示先生、女士
nowIndusCodeNo当前行业名称
nowWorkStatusNo当前工作状态。允许取值及含义:0-在职看看新机会、1-离职正在找工作、2-在职急寻新工作、3-在职暂无跳槽打算、4-在校暂时不找工作、5-在校看看机会、6-在校可即刻到岗、7-离校正在找工作
startJobMonthNo开始工作月份,如 06。与 startJob 要么都传要么都不传
nowJobTitleCodeNo当前职能/职位类别名称
nowSalarySecretNo当前薪资是否保密。允许取值及含义:0-显示,1-隐藏
politicalStatusCodeNo政治面貌。允许取值及含义:1-中共党员,2-中共预备党员,3-共青团员,4-群众,5-民主党派,6-其他

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full disclosure burden. It only states that fields are updated, but fails to disclose side effects on unmentioned fields, authorization requirements, return value, error behavior, or whether the operation is reversible. As a mutation tool, this lacks critical behavioral detail.

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?

The description is a single short sentence that immediately conveys the action and target. There is no filler or redundancy, making it highly concise and appropriately front-loaded.

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

Completeness2/5

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

The tool has 17 optional parameters and no output schema, yet the description does not mention response behavior, error conditions, or usage context. It lacks essential operational details needed to invoke the tool confidently, making it incomplete for its complexity.

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

Parameters3/5

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

The input schema already provides descriptions for all 17 parameters, so the baseline is 3. The description's phrase 'update the passed-in fields' adds a partial-update semantic, but it is a global statement rather than per-parameter clarification, and it does not significantly extend beyond the schema's existing parameter information.

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?

The description uses the explicit verb '修改' (modify) and clearly identifies the target resource as '简历的【基本信息】数据' (resume's basic information data), distinguishing it from sibling tools that modify other resume sections. It also conveys the partial-update behavior ('更新传入的字段数据'). However, it could more explicitly state its scope relative to other modify-* tools.

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 provides no guidance on when to use this tool versus alternatives like modify-edu-exp or modify-work-exp. There is no mention of exclusions, prerequisites, or scenarios where this tool is preferred, leaving the usage context entirely implied.

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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