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Get Full Product

get_full_product
Read-onlyIdempotent

Load one product in full: its persona plus every paid skill. PREMIUM (license).

Typical input {"slug": "curriculum-architect-hs"} returns {"slug": ..., "name": ..., "persona": "", "skills": [{"name": ..., "instructions": ...}, ...], "free_skill": {...}}.

Returns persona plus every skill for one product. Use when the caller wants the whole product. Not for a single skill (get_full_skill) and not for a free look, which list_products and get_free_skill provide with no plan. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""} (for example {"error": "unknown slug ''"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesProduct slug exactly as returned by list_products, e.g. "curriculum-architect-hs"; must be non-empty.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description goes beyond by explicitly stating 'Every call is read-only and idempotent' and detailing the error handling behavior: 'never raises a protocol error — it returns {"error": ...}' with examples. This adds significant value beyond annotations.

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 well-structured and front-loaded with the primary purpose. It includes an example, usage guidance, error details, and essential behavioral notes. Every sentence contributes value; slight redundancy in restating the purpose could be trimmed, but overall it is appropriate for the information density.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has only one parameter and an output schema exists (as indicated by context signals), the description covers all necessary aspects: purpose, example, usage against siblings, error behavior, and idempotency. It is fully complete for an agent to select and invoke the tool correctly.

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

Parameters4/5

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

Schema coverage is 100% with a description for slug. The description adds a typical input example and specifies that the slug must be exactly as returned by list_products, which provides context beyond the schema. While schema already covers minLength and description, the added example and source reference earn a score above baseline 3.

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 loads one product in full including persona and every paid skill. It provides a typical input/output example and explicitly distinguishes from sibling tools like get_full_skill and get_free_skill, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use when the caller wants the whole product' and provides clear exclusion criteria: 'Not for a single skill (get_full_skill) and not for a free look, which list_products and get_free_skill provide with no plan.' It also mentions retry safety after error correction, offering comprehensive guidance.

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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TDQS

A4.6/5.0
Disambiguation5/5

All seven tools have clearly distinct purposes. The three product/skill retrieval tools (get_free_skill, get_full_skill, get_full_product) are precisely differentiated by what they return. The remaining four tools (list_products, grade_curve, lesson_timer, readability_report) each target a unique function with no overlap.

Naming Consistency3/5

Tool names use a mix of verb_noun (get_free_skill, get_full_skill, list_products) and noun_noun (grade_curve, lesson_timer, readability_report) patterns. While each name is readable and the convention is not chaotic, the lack of a uniform pattern reduces consistency.

Tool Count5/5

Seven tools is a well-scoped count for an educator toolkit. Each tool addresses a distinct need: product discovery, skill retrieval, assessment analysis, lesson planning, and readability checking. No tool is superfluous, and the number feels complete without being overwhelming.

Completeness4/5

The tool surface covers the core domain: product listing, skill retrieval (free and paid), assessment statistics, lesson timing, and readability analysis. Minor gaps exist, such as the absence of a search or comparison feature across products, but the essential workflows are supported without dead ends.

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