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dhl_career_explorer

Guides K-12 students in career exploration with personalized suggestions, salary insights, and mentor links based on interests and grade level.

Instructions

Career exploration tool for K-12 students. Returns career pathway suggestions, day-in-the-life descriptions, education requirements, salary ranges, available mentors, and industry growth trends.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skillsNoExisting or desired skills (optional)
grade_levelYesStudent grade level
student_interestsYesStudent interests and passions
preferred_industriesYesIndustries of interest
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose behavioral traits such as read-only nature, side effects, required permissions, or response behavior. The agent lacks crucial context for safe invocation.

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 a single sentence that is concise and informative, listing key outputs. However, it could be more structured (e.g., bullet points) for easier parsing, but no unnecessary content.

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?

Given 4 parameters, no output schema, and no annotations, the description provides a reasonable overview of what the tool returns. However, it omits details on output format, pagination, or how results are delivered, leaving some gaps for a complete understanding.

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 already well-documented. The description adds overall context but does not enhance individual parameter meaning beyond the schema. Baseline score of 3 is appropriate.

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 it is a career exploration tool for K-12 students and lists specific outputs (career pathways, day-in-the-life, education requirements, salaries, mentors, growth trends). This distinguishes it well from sibling tools like dhl_curriculum_align or dhl_mentor_match.

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 implies usage for career exploration by students but does not provide explicit guidance on when to use this tool versus alternatives (e.g., dhl_mentor_match for mentors only) or any exclusions.

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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