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dhl_session_plan

Create structured mentoring session plans with discussion prompts, activities, and follow-up assignments tailored to mentor expertise, student grade level, and session duration.

Instructions

Create structured mentoring session plans with discussion prompts, activities, and follow-up assignments. Customized by mentor expertise, student grade level, and session duration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesSpecific topic for the session
durationYesSession duration in minutes (30-480)
group_sizeYesNumber of students in the group (1-50)
student_gradeYesStudent grade level
mentor_expertiseYesMentor's area of expertise
Behavior2/5

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

No annotations provided, so the description carries full burden. It only states the tool 'creates' plans, but does not disclose behavioral traits like idempotency, side effects, authorization needs, or whether the plan is saved or returned directly.

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 two sentences and front-loaded with the key action. It is concise, though it could benefit from a clearer structure separating function from customization.

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?

Given no output schema and no annotations, the description should explain what the tool returns (e.g., plan format, structure) or any constraints. It only mentions output components vaguely, leaving significant gaps for an agent to understand the full behavior.

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 coverage is 100% with descriptions for each parameter. The description adds context for mentor_expertise, student_grade, and duration, but omits topic and group_size, which are required. Overall, description adds some value but not fully comprehensive.

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 creates structured mentoring session plans with specific components (discussion prompts, activities, follow-up assignments) and customization factors. It distinguishes itself from sibling tools like dhl_career_explorer or dhl_mentor_match which serve different purposes.

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 creating session plans customized by expertise, grade, and duration, but lacks explicit guidance on when to use this tool versus alternatives or when not to use it.

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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