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Sense2 Promotional Products

get_service_areas

Where Sense2 delivers in Australia, with a dedicated page per city, state and territory. Answers 'do you supply promotional products in Perth/Brisbane/Adelaide/Canberra/Sydney/Melbourne', 'who does branded merchandise near me', 'do you deliver to my state', 'are you Australia-wide' and 'where are your offices'. Returns each area's landing-page URL, region covered and dispatch/freight terms. Pass a slug (e.g. 'perth') for one area including its full intro. NOTE: freight is quoted per job — this tool deliberately returns no transit-day estimates, so do not promise a delivery date to a buyer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoOptional city/state slug, e.g. 'perth', 'brisbane', 'queensland'. Omit for all areas.

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description fully discloses behavior: returns landing-page URL, region, freight terms, and explicitly states no transit-day estimates. No contradictions.

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 well-organized: starts with purpose, then examples, then parameter usage and important note. Slightly verbose but every sentence adds value.

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?

Given the simple parameter and no output schema, the description provides all necessary context: what it does, how to use it, what it returns, and a critical limitation. Complete for agent decision-making.

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 covers the slug parameter 100%. Description adds value by explaining the effect of including a slug (full intro) and providing examples, beyond the schema's basic description.

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 the tool's purpose: returning service areas where Sense2 delivers in Australia, with a dedicated page per location. It lists example questions and distinguishes from sibling tools that focus on products, brands, etc.

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 instructs to pass a slug for a specific area or omit for all, and provides a critical note not to promise delivery dates. It lacks explicit comparison to alternatives but gives clear usage context.

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.

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