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update_shopify_product_draft

Update a DRAFT (or archived) Shopify product's title, description, or tags. Refuses live (ACTIVE) products — changing what buyers see needs the approval-gated live tool. Use when a person or agent is building out or revising unpublished catalog.

Routing: Shopify: edit a DRAFT product — refuses live products

[sensitive-tier — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNo
titleNo
companyIdYesFreedomOS company id to act within (you must be a member). Required for company-scoped tools.
product_idYesProduct gid (gid://shopify/Product/...)
description_htmlNo

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses refusal behavior for live products, approval sensitivity, and consent modes ('from-now-on' vs 'just-once'). It does not explain overwrite semantics or return behavior, but the core behavioral boundary is clear.

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 compact and front-loaded, with the core purpose in the first sentence. The routing line partly repeats the first sentence, but the sensitive-tier approval note adds genuinely useful behavior. No wasted filler.

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

Completeness4/5

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

For a mutation tool with no annotations and no output schema, it covers purpose, target product state, refusal behavior, use case, and approval requirements. It lacks explicit update semantics (partial update vs full replace) and return value info, but is otherwise well-rounded.

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 only 40%, and the description names the editable fields (title, description, tags) which maps to schema properties. However, it does not clarify that description_html expects HTML, whether omitted fields are preserved, or whether tag arrays replace or append. It also says 'description' where the schema says 'description_html', creating slight ambiguity.

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?

Description opens with a specific verb and resource: 'Update a DRAFT (or archived) Shopify product's title, description, or tags.' It clearly distinguishes itself from the live-product path by explicitly stating it refuses ACTIVE products and points to the approval-gated live tool.

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?

Provides explicit usage context: 'Use when a person or agent is building out or revising unpublished catalog.' It also states the exclusion — 'Refuses live (ACTIVE) products' — and names the alternative path ('approval-gated live tool'), which maps to the sibling update_live_shopify_product.

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

A3.6/5.0
Disambiguation4/5

The tool set is heavily disambiguated by detailed routing descriptions, domain prefixes, and lifecycle verbs, so most tools have a clear intended purpose. However, at 297 tools there are still close pairs and overlapping decision surfaces (e.g., approval workflows, 'what should I work on' readers, multiple finance/ads readers) that require careful description reading to avoid misselection.

Naming Consistency4/5

Naming is predominantly consistent snake_case verb_noun with strong domain prefixes like shopify_, x_, posthog_, and list_/create_/update_ patterns. Minor inconsistencies exist, such as several collection-returning tools using get_ (get_team_members, get_icps, get_okrs) instead of list_, and some generate_ vs create_ vs draft_ verbs, but the pattern is still predictable overall.

Tool Count1/5

297 tools is an extreme outlier and far beyond a usable MCP tool surface. Even a large suite has no justification for this count in one server; the agent would struggle to select among hundreds of similarly descriptive tools, and the natural 3-15 tool range is exceeded by nearly 20x.

Completeness4/5

The individual domains represented — OKRs, CRM/leads, Shopify, content pipelines, ads, PostHog, team hiring, knowledge, finance, and session management — are covered remarkably well with full lifecycle patterns. Minor gaps exist, such as no full deal CRUD, no delete for several Google/Shopify artifacts, and some analytical surfaces being read-heavy, but most workflows can be completed without dead ends.

Resources