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Moltline Business Suite

Get Full Product

get_full_product
Read-onlyIdempotent

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

Typical input {"slug": "smb-ops-desk"} 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. "smb-ops-desk"; 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, destructiveHint. Description adds critical behavioral info: error handling pattern ('never raises a protocol error — it returns {"error": ...}') and reinforces idempotency/read-only. No contradiction 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Starts with a clear one-line summary, then example, then usage clarification, then error details. Every sentence adds value, though there is minor repetition (e.g., 'Returns persona plus every skill' echoes the opening). Overall well-structured and not overly verbose.

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?

For a tool with one parameter, complete annotations, and an output schema, the description fully covers purpose, usage, error behavior, and return format. It also provides a concrete example and error examples. No gaps remain for typical usage.

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% so baseline is 3. Description adds value by providing an example input ('{"slug": "smb-ops-desk"}') and clarifying that the slug comes from list_products, which is helpful context beyond the schema's description.

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?

Clearly states 'Load one product in full: its persona plus every paid skill' with specific verb (Load) and resource (one product). Explicitly distinguishes from siblings: 'Not for a single skill (get_full_skill) and not for a free look, which list_products and get_free_skill provide.'

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 states when to use ('when the caller wants the whole product') and when not to ('Not for a single skill… not for a free look'). Also mentions PREMIUM license as a usage condition and provides error recovery guidance ('safe to retry').

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

A4.4/5.0
Disambiguation3/5

The financial calculation tools (cash_runway, loan_payment, target_price, unit_economics) are clearly distinct in their inputs and outputs. However, within the product listing tools (list_products, get_free_skill, get_full_skill, get_full_product), the differentiation relies heavily on the 'FREE' vs 'PREMIUM' tags and the notion of 'free gateway skill' vs 'paid skills', which creates some ambiguity. An agent could easily pick get_free_skill when it actually needs get_full_skill.

Naming Consistency4/5

The tool set uses a mix of verb_noun (list_products, get_free_skill, get_full_product) and simple noun phrases (cash_runway, loan_payment, target_price, unit_economics). While the 'get_*' prefix creates a consistent pattern for product/skill access, the standalone financial calculation tools break this pattern. Nevertheless, the naming is still clear and predictable within each subgroup.

Tool Count5/5

With 8 tools, the set is well-scoped for a 'business' server that covers two clear domains: financial calculations (4 tools) and product/skill browsing (4 tools). Each tool covers a distinct operation without redundancy, and the count feels appropriate for the stated purpose.

Completeness3/5

The financial calculation tools cover common business math (runway, loan payments, margin/pricing, break-even), but lack coverage for revenue metrics (e.g., ARR, MRR), ROI, or depreciation. The product browsing tools provide a clear CRUD-like flow (list -> get), but there is no way to search or filter products, and the missing 'search_catalog' is referenced as existing on another server. This is a minor gap that may require agents to switch servers.

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