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boss_ai_resume_optimize

Optimize your resume wording to match a target job description. Provide resume name and job description text or job ID to receive tailored suggestions without altering your original resume.

Instructions

基于目标岗位优化简历措辞(仅建议,不修改简历) [可用性: 可用性: roles=candidate; candidate_platforms=zhilian, zhipin; recruiter_platforms=-]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idNo从缓存读取职位描述的 job_id(与 jd_text 二选一)
resumeYes简历名称
jd_textNo目标职位描述文本
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It notes the tool is suggestion-only and non-modifying, which is a key trait. However, it omits other important aspects like required authentication, rate limits, or behavior when conflicting parameters are provided.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence but includes appended availability information that appears to be metadata. It is front-loaded with the core action but the structure is muddied by the extra details.

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 description does not explain the output or return value, nor does it clarify behavior when both job_id and jd_text are provided. Given no output schema, this information is missing.

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?

Schema description coverage is 100%, so parameters are individually described. The tool description does not add semantic meaning beyond the schema; it only rephrases the tool's purpose.

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 optimizes resume wording for a target position, and specifically notes it only provides suggestions without modifying the resume. This distinguishes it from sibling tools like boss_ai_optimize or boss_ai_fit.

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 does not provide any guidance on when to use this tool versus alternatives (e.g., boss_ai_optimize). It lacks context on prerequisites or exclusions beyond the core action.

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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