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Define scope

define_scope

Generate a pedagogical scope contract for course materials, including concept graph, Bloom targets, prerequisites, and boundary statement, with enforced acyclic prerequisites and explicit exclusions.

Instructions

Produce the pedagogical Scope Contract: concept graph (core/supporting/stretch/excluded), Bloom targets, prerequisites, boundary statement. Enforces acyclic prerequisites and exclusion reasons in code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
materialsIdYes
audienceLevelYes
explicitExclusionsNo
learningObjectivesNo
Behavior3/5

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

With no annotations, the description carries full weight. It discloses a notable behavioral trait: 'Enforces acyclic prerequisites and exclusion reasons in code', which adds value. However, it does not cover mutation/persistence effects, error behavior, or permission requirements, leaving gaps.

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, dense sentence that front-loads the core purpose. It avoids redundancy, though the long list of output components makes it slightly packed. Every clause earns its place.

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?

For a 4-parameter tool with no output schema and no annotations, the description is too sparse. It mentions outputs but omits return structure, edge cases, and how inputs map to outputs. The enforcement note helps but does not compensate for the overall missing context.

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%, and the description does not explain any parameter meanings. It lists output components but not how inputs like materialsId, audienceLevel, explicitExclusions, or learningObjectives are used, forcing the agent to infer from names alone.

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's verb ('Produce') and specific deliverable ('pedagogical Scope Contract'), enumerating its components. This distinguishes it from sibling tools like render_deck or plan_presentation by focusing on the scoping phase.

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 is provided on when to use this tool versus alternatives. It does not mention prerequisites, typical workflow position, or exclusions for other planning tools, leaving the agent without context for selection.

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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