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Moltline Business Suite

List Products

list_products
Read-onlyIdempotent

List every product in the Business Suite line with its included skills. FREE.

Takes no arguments. Typical input {} returns a list of 30 product objects, each {"slug": "smb-ops-desk", "name": ..., "tagline": ..., "skills": ["Skill A", ...], "free_skill": "Gateway Skill Name"}. Use the returned slug values with get_free_skill, get_full_product, or get_full_skill.

Returns metadata only - no persona text and no skill instructions. Use when the caller wants to see what this server covers. Not for keyword search across the whole 138-product catalog, which the catalog server's search_catalog does, and not for instructions the caller can act on (get_free_skill). Errors: on invalid, missing, or malformed input this tool never raises a protocol error; it returns {"error": ""}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, closed-world, and non-destructive, so the safety profile is covered. The description adds real value beyond that: it states the return is metadata only (no persona text, no skill instructions) and documents that invalid input returns an {'error': ...} object rather than a protocol error, making retries safe.

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?

Front-loads purpose, then return shape, then routing guidance, then error semantics – a sensible order. Slightly padded by the 'FREE.' fragment and the long error sentence, but nearly every clause carries actionable information.

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 zero-argument listing tool with an output schema and full annotations, the definition covers everything an agent needs: what it returns, what it omits, which slug values to pass downstream, which siblings to prefer, and how failures surface.

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?

Zero parameters, so baseline is 4. The description confirms 'Takes no arguments' and shows a typical input of {}, which is consistent with the empty schema but largely redundant with it.

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?

States a specific verb and resource with scope: 'List every product in the Business Suite line with its included skills.' It also explicitly bounds the scope ('not for keyword search across the whole 138-product catalog'), which lets an agent separate it from search_catalog and get_free_skill without inspecting schemas.

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?

Gives an explicit positive trigger ('Use when the caller wants to see what this server covers') plus two named exclusions with the alternative tool for each (search_catalog for keyword search, get_free_skill for actionable instructions). The decision boundary is fully specified.

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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