generate_resume_for_job

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

With no annotations, the description carries the behavioral disclosure burden. It does state that it returns JSON resume data and uses AI optimization, but it does not mention any side effects, such as whether the generated resume is saved for later retrieval or if credits are consumed. This leaves some ambiguity for an agent.

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

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

The description is two sentences, front-loaded with the core purpose and a brief elaboration of behavior and output. Every word is useful, and there is no redundancy or fluff.

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

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

The description adequately explains the tool's action and return type, but it does not cover the lifecycle of the generated resume. Given the sibling tools for managing generated resumes, it would be helpful to mention whether the output is persisted and can be retrieved later, which is a notable gap.

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

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

The input schema provides 100% coverage for all five parameters, so the baseline is 3. The description does not add any extra meaning or context about the parameters beyond what the schema already documents.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (generate), the resource (resume), and the specific context (tailored for a job application). This distinguishes it from sibling resume tools like get_resume or upload_resume_from_file by emphasizing generation and job-specific customization.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context for when to use the tool: when an AI-optimized resume tailored to a specific job application is needed. It does not explicitly exclude alternatives, but the purpose is unambiguous enough for an agent to select it appropriately.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.