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Get Free Skill

get_free_skill
Read-onlyIdempotent

Load a product's free gateway skill with its complete instructions. FREE.

Typical input {"slug": "inbox-zero-assistant"} returns {"slug": ..., "skill": "", "instructions": ""}.

Returns exactly one skill - the product's free gateway skill - chosen automatically from the slug, with no plan required. Use when the caller wants usable instructions immediately. Not for the product's other skills: those are named and need get_full_skill with a skill_name, which requires a paid 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 search_catalog, e.g. "inbox-zero-assistant".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.9/5.0
Behavior5/5

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

Beyond the annotations (readOnlyHint, idempotentHint), the description adds valuable behavioral details: it returns exactly one skill, never raises a protocol error, returns an error object with fix guidance, and states 'Every call is read-only and idempotent, so after correcting the input it is always safe to retry.' This enriches the annotation data with concrete error behavior.

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?

The description is dense but each sentence serves a purpose: what it does, example I/O, differentiation from sibling, error behavior, and idempotency. It is front-loaded with the core action and stays information-dense without fluff.

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?

With only one parameter and rich annotations plus an output schema, the description still adds crucial context: automatic selection of the free skill, no plan required, error response format, and retry safety. It fully covers all operational aspects for an agent to invoke this 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?

The schema already covers the single param (slug) with a clear description and example. The tool description adds a concrete input example and shows the expected output structure, which reinforces parameter usage beyond the schema. Since schema coverage is 100%, baseline is 3; the example input/output pushes it to 4.

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 opens with a specific verb and resource: 'Load a product's free gateway skill with its complete instructions.' It clearly distinguishes this tool from the sibling get_full_skill by stating it returns only the free gateway skill and explicitly saying 'Not for the product's other skills: those are named and need get_full_skill with a skill_name.'

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 provides explicit usage context: 'Use when the caller wants usable instructions immediately.' It also names the alternative tool for other skills and even notes the plan requirement, giving clear when-to-use and when-not-to-use 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

A4.7/5.0
Disambiguation4/5

The tools are mostly distinct, but the four get_full_* tools (kit, persona, product, skill) share a similar naming pattern and could be confused. Descriptions clarify the different payloads, so an agent can select correctly with careful reading.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern (get_free_skill, list_kits, search_catalog, etc.). The verbs vary by action but the structure is uniform and predictable.

Tool Count5/5

10 tools cover catalog search, recommendation, preview, and tiered content retrieval. This is well-scoped for a product catalog server, neither too few nor too many.

Completeness4/5

The surface covers browsing, searching, recommending, previewing, and retrieving free/full content, plus upgrade info. Minor gap: per-product pricing is not available except for kits, so agents cannot quote individual product prices directly.

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