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list_shopify_content

List the connected Shopify store's online-store pages (title, handle, published status, updatedAt — pass a page's updatedAt as expected_updated_at when proposing a page publish) and blogs (title, handle). Use to see what site content already exists before drafting a new page or blog post.

Routing: Shopify site content: pages + blogs (title/handle/published; pages include updatedAt) from the live store

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many pages to return (default 20, max 50); blogs are always up to 10
companyIdYesFreedomOS company id to act within (you must be a member). Required for company-scoped tools.

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It reveals the output fields, the live-store source, and the meaningful detail that updatedAt should be passed as expected_updated_at when proposing a page publish. It does not mention pagination or errors, but it gives enough behavioral context for a read-only listing tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The first two sentences are informative and front-loaded, but the 'Routing' line largely repeats the same information as the first sentence. The description is reasonably compact but contains redundancy that a tighter definition would avoid.

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?

With no output schema, the description compensates by enumerating the returned fields for pages and blogs and explaining the intended use case. The two parameters are fully covered by the schema. It could add result ordering or pagination behavior, but it is otherwise adequate for a listing tool.

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?

The input schema already documents limit and companyId with 100% coverage, including defaults and max values. The description adds no parameter-level meaning beyond a related cross-tool note about updatedAt, which is not itself a parameter of this tool.

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 it lists the connected Shopify store's online-store pages and blogs, including the specific fields returned and the live-store scope. This distinguishes it from sibling tools like list_shopify_products or list_shopify_themes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly says to use this tool before drafting a new page or blog post, giving a clear use context. It does not name alternatives to avoid or exclusion criteria, but the intended scenario is well 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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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.

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