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Universal catalog reader. Routes by domain ('kits', 'presets', 'palettes', 'seasonal', 'settings', 'decorations', 'effects', 'diagnostics', 'anatomy', 'compatibility') with optional facet filter (e.g., 'button.hover') and free-text query. Returns paged items with id/name/description and metadata-only marker. Use this for ANY merchant question about 'what options are available' or 'show me X'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
facetNo
queryNo
domainYes
page_sizeNo

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that results are paged and include 'id/name/description and metadata-only marker', which is useful. However, it does not mention permissions, rate limits, error behavior, or clarify what 'metadata-only marker' means, leaving some ambiguity.

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 two sentences, front-loaded with the tool's identity ('Universal catalog reader') and then efficiently details routing, optional filters, return shape, and usage. Every sentence earns its place; no filler or repetition.

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 5 parameters, no output schema, and no annotations, the description covers the essential behaviors: domain routing, facet/query filters, paging, and return structure. It stops short of explaining 'metadata-only marker' or edge-case behavior, but for a catalog listing tool, it is sufficiently complete for an agent to select and invoke it.

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 0%, so the description compensates by explaining domain (listing all enum values), facet (giving an example like 'button.hover'), and query ('free-text query'). It also references paging, which maps to page and page_size, though these are not explicitly named. The parameter meanings are largely clear from the description and names.

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 this is a 'Universal catalog reader' and specifies it routes by domain with a list of valid domains. It explicitly concludes with the use case: 'Use this for ANY merchant question about what options are available or show me X', which distinguishes it from siblings like diagnose or recommend.

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?

The description provides a clear directive on when to use the tool: 'Use this for ANY merchant question about what options are available or show me X'. It does not explicitly name alternatives or state when not to use it, but the sibling tool names suggest distinct purposes, making the guidance more implicit than explicit.

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

A3.9/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: browse catalogs, diagnose issues, explain plans/settings, generate plans from intent, and provide recommendations. While plan and recommend both generate plans, their inputs and use cases are explicitly separated (direct intent vs. proactive scenarios), eliminating ambiguity.

Naming Consistency5/5

All tool names are single imperative verbs (browse, diagnose, explain, plan, recommend), following a uniform and predictable naming pattern. There is no mixing of conventions or stylistic inconsistencies.

Tool Count5/5

With 5 tools, the server is well-scoped for its purpose as a planning and recommendation engine. Each tool earns its place, covering discovery, diagnostics, explanation, and planning without unnecessary bloat.

Completeness2/5

The tool set references critical preview/execute operations (preview() and execute()) that are not exposed as tools, leaving a dead end where plans cannot be applied. Additionally, there is no way to fetch full details for a specific catalog item beyond the paged browse results, making the workflow incomplete.

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