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generate_skills_assessment

Generate targeted assessment questions for any subject that align with specific Bloom's Taxonomy cognitive dimensions and levels.

Instructions

Generates targeted questions mapped strictly to Bloom's Taxonomy cognitive dimensions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
target_levelYes
subject_segmentYes
cognitive_dimensionNoapply

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 only notes 'strictly mapped' behavior but omits other traits such as mutability, auth requirements, or side effects. Insufficient disclosure for a tool with no annotations.

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?

Single sentence with no extraneous words. Every part contributes to the core purpose. Ideal conciseness.

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?

Despite having an output schema, the description fails to describe return format or behavior. With 3 undocumented parameters and no annotations, the tool is underspecified for reliable use. The description is too short to be complete.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description adds no parameter-level meaning. Parameters like 'subject_segment', 'target_level', and 'cognitive_dimension' are not explained, leaving the agent with no guidance beyond names.

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 clearly states the tool generates questions mapped to Bloom's Taxonomy cognitive dimensions, using a specific verb and resource. It distinguishes itself from unrelated sibling tools, but lacks further specificity about question type or domain.

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?

No guidance on when to use this tool versus alternatives. The description does not mention context, prerequisites, or exclusions, leaving the agent to infer usage independently.

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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