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Sense2 Promotional Products

get_collections

List all 45 curated collection landing pages (bulk promotional pens, custom embroidered apparel, corporate gifts, conference merchandise, drink bottles, etc.) with names, types and URLs — intent-led buying pages with hand-picked product sets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the disclosure burden. It transparently states that the tool returns all 45 collections with names, types, and URLs, and uses the non-destructive verb 'List'. It doesn't mention pagination or response format, but for a zero-parameter list operation the disclosure is reasonable.

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 a single front-loaded sentence with the core action and resource stated first. The parenthetical examples add context but the final descriptive clause is somewhat ornamental; still, there is no significant redundancy.

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 nullary tool with no output schema, the description sufficiently explains what an agent will get: the 45 collection landing pages, their names, types, and URLs. It could be slightly stronger on distinguishing this from adjacent tools, but it is largely complete for invocation purposes.

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?

There are zero parameters, so the baseline is 4. The description adds useful semantics about what the returned objects are (collection landing pages, product types, URLs), even though parameter-level detail is not applicable here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action and resource: 'List all 45 curated collection landing pages' and names the returned fields (names, types, URLs). It is clear about what the tool produces, though it does not explicitly contrast it with sibling tools such as get_categories or get_brands.

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

Usage Guidelines3/5

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

The phrasing 'curated collection landing pages' and 'intent-led buying pages' implies when an agent would want this tool, but it never explicitly says when to use it instead of a sibling or when not to use it. Routing among the many get_* tools is left mostly to inference.

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
Disambiguation5/5

Each tool targets a distinct resource or action, from product and brand lookups to editorial collections and regional delivery info. Even similar listing tools (categories, industries, aesthetics, intents, inspirations, on-trend) are differentiated by their specific names and descriptions.

Naming Consistency4/5

The naming pattern is strongly consistent: lowercase with underscores, and almost all tools use the get_ prefix plus a resource name. The only deviation is search_products, which uses 'search' instead of 'get', but it still follows the verb_noun structure.

Tool Count3/5

With 21 tools, the server is on the heavy end of the typical range. The breadth is justified by the many distinct content types (products, brands, editorials, company info, reviews, regions, FAQ), but the count feels slightly bloated compared to leaner MCP servers.

Completeness4/5

The tool surface covers the full research and selection journey: product search, details, quotes, FAQ, company credibility, delivery areas, and inspirational content. The main gap is the lack of any transactional or order-placement tool, but that appears outside the intended scope.

Resources