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Get 3D Framework Components

get_3d_components

Retrieve SEP, DCI, and CCC components for any middle school NGSS standard code. Supports minimal, summary, or full detail levels.

Instructions

Extract the three-dimensional learning components (SEP: Science and Engineering Practices, DCI: Disciplinary Core Ideas, CCC: Crosscutting Concepts) for a specific standard (e.g., MS-PS1-1, MS-LS2-3, MS-ESS3-1)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesNGSS standard code (format: MS-{PS|LS|ESS}{number}-{number})
detail_levelNoResponse detail level: minimal (code, topic, PE 50 chars), summary (+ keywords top 3, PE 150 chars), full (complete standard)full
Behavior3/5

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

No annotations are present, but the description implies a read-only operation via 'Extract'. However, it does not disclose any behavioral traits such as performance characteristics, error handling, or data freshness.

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 front-loaded with the verb and resource. It is concise but could benefit from a more structured listing of the three components.

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 no output schema, the description does not explain the return format or response fields. It covers the main purpose but lacks completeness for a tool with only two parameters and no annotations.

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%, so the description adds no additional meaning beyond what the schema already provides for the two parameters. The description does not mention the 'detail_level' parameter or its values.

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 explicitly states the verb 'Extract' and the resource 'three-dimensional learning components for a specific standard', with concrete examples. It clearly differentiates from siblings like search_by_* and get_standard.

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 (e.g., get_standard which might also return 3D components). No exclusions or prerequisites are mentioned.

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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