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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-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 ''. Use list_products."}). 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. "inbox-assistant".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false. The description adds critical behavioral context: the tool never raises protocol errors but returns an error object on invalid input, and it is idempotent ('after correcting the input it is always safe to retry'). No contradictions with 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?

The description is efficiently structured: a single-sentence summary, example, then details on behavior, when to use, differentiation from sibling, error handling, and idempotency. Every sentence adds value with no redundancy or 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?

Given low complexity (1 parameter, simple response) and the presence of an output schema, the description covers all necessary aspects: input format, output structure, error handling, and usage context. It is fully self-contained for the agent to use correctly.

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 does not need to compensate heavily. The description reiterates that slug must come from list_products and provides an example, but adds only modest context beyond the schema (e.g., 'chosen automatically from the slug'). Baseline 3 is appropriate.

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 verb 'Load' and specific resource 'product's free gateway skill with its complete instructions'. It distinguishes from sibling 'get_full_skill' by noting this returns only the free gateway skill chosen automatically from the slug, whereas the sibling requires a skill name and a paid plan. The example output and typical use case reinforce clarity.

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?

Explicitly says 'Use when the caller wants usable instructions immediately' and 'Not for the product's other skills: those are named and need get_full_skill with a skill_name, which requires a paid plan.' Additionally, it guides error recovery by referencing list_products. This provides a clear decision framework for the agent.

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

A4.5/5.0
Disambiguation4/5

Each tool targets a distinct task: budget_split for income allocation, tip_split for bill splitting, savings_goal for target saving, etc. There is slight potential confusion between budget_split and tip_split as both involve splitting money, but their inputs and purposes (monthly income vs. a single bill) are clearly differentiated. No two tools have overlapping functionality.

Naming Consistency4/5

Tool names follow a consistent snake_case verb_noun pattern (budget_split, tip_split, savings_goal, list_products, get_free_skill, etc.). The only minor inconsistency is that two tools use 'split' (budget_split, tip_split), which is fine as they refer to different kinds of splitting. Overall, the naming is predictable and clear.

Tool Count5/5

With 9 tools, the count is perfectly scoped for a personal suite covering personal finance (budget_split, tip_split, savings_goal), product browsing (list_products, get_free_skill, get_full_product, get_full_skill), time utilities (countdown_days), and learning (spaced_repetition_plan). Each tool serves a clear purpose without bloat or triviality.

Completeness4/5

The tool set covers the advertised areas: personal finance budgeting, goal saving, bill splitting, product discovery, countdowns, and spaced repetition. A minor gap is the lack of an update or delete tool, but this is acceptable since the server is primarily read-only and informational. The product tools provide a reasonable lifecycle (list, get free, get full, get skill).

Resources